20977 Auditing Jobs - Page 15

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About Lowe’s India Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team Internal Audit is an independent assurance/advisory function reporting functionally to the audit committee of the Board and administratively to the Finance function(CFO). IA is responsible for planning, executing, and reporting operational, compliance, financial, and technology audits. Job Summary The IT Staff Auditor will work closely with the Senior Auditor to assist in audits that evaluate the effectiveness of internal controls established to manage the Company’s most significant risks. The IT Staff Auditor will assist in the planning and execution of audit engagements by conducting interviews and walkthroughs with process owners; assist in the development and execution of audit test steps associated with related controls; and prepare workpapers to document the audit work performed to support conclusions reached. The IT Staff Auditor will also aid the Senior Auditor in the interpretation of test results and will assist in developing oral/written communication of audit results to the client. Additionally, the IT Staff Auditor will actively participate in departmental non-project activities. Roles & Responsibilities Project evaluation and data integrity: Performs preliminary survey work and documents processes to identify significant risks and their related controls Assists the team in developing and executing test steps designed to evaluate the effectiveness of relevant internal cross-functional internal controls (i.e., store, financial, IT, etc.) Ensures work performed is accurately documented in accordance with the Internal Audit workpaper standards Assists the Senior Auditor in the identification and documentation of weakness in control design and effectiveness based on analysis performed. Assists the Senior Auditor with the summarization of audit findings Project Management Assists the Senior Auditor in coordinating with the client and management to ensure project milestone timelines are met Applies basic knowledge of IT, Operations, Finance, and Analysis to ensure efficiency throughout the audit engagement. Utilizes internal resources to assist when audit topics require intermediate to advanced knowledge Continuously develops knowledge of audit tools and techniques to ensure quality audit work Completes assigned audit plan within the established deadlines following Lowe’s Audit Methodology Project Communication Assists Senior Auditor in ensuring significant findings, root causes, risk exposures, and management action plans are concise and documented in a timely manner Communicates audit exceptions and other items of concern in a timely manner to the audit team and clients Develops client relationships professionally through consistent dialogue and open communications throughout the audit process Proactively collaborates and promotes knowledge share within the Internal Audit team Business Influence Meets or exceeds customers’ expectations, looks for ways to improve their experience while creating a seamless experience by understanding how the Staff Auditor role, team goals, and daily activities fit into the company vision Drives for results by consistently achieving goals and pushing to complete tasks by their deadlines Collaboration With Others Works cross-functionally to manage and organize work processes and ensure the most efficient workflow Supports a collaborative environment by working in a team of peers to solve problems and shares information with peers, manager, and customers as appropriate Self Development Organizes resources and information in an efficient manner to handle competing demands and accomplish what needs to be done Years Of Experience 1 to 3.5 years post qualification experience Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s degree in engineering/IT or Accounting / Finance- Experience in internal/external audit, CISA certification/CIA (optional) Skill Set Required Primary Skills (must have) Qualified Accountant/MBA/Engineer Auditing experience Report writing and written communication Secondary Skills (desired) Project management Negotiation Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Job Description At Oracle Cloud Infrastructure (OCI) we build the future of the cloud for Enterprises. We act with the speed and attitude of a start-up along with the scale and customer focus of the leading enterprise software company in the world. About the team: The Enterprise Engineering SRE team is tasked with ensuring the security and compliance of internal systems by conducting regular audits, identifying potential gaps in existing standards and proactively improving the organization's overall security posture. The team plays a critical role in safeguarding the integrity, confidentiality and availability of all systems while driving risk management initiatives across departments including disaster recovery planning and execution. We are also responsible for liaising with various internal teams during audits, ensuring data sharing is concise, accurate and aligned for successful audit outcomes. Ideally, the candidate will possess several of the following skills: Supports the strengthening of Oracle’s security posture, focusing on one or more of the following: regulatory compliance; risk management; incident management and response; security policy development and enforcement; Threat and Vulnerability Management; Incident Management and response and similar focus areas. Regulatory Compliance: Brings advanced level skills to manage programs to establish, document and track compliance to industry and government standards and regulations, e.g. ISO-27001, PCI-DSS, HIPAA, FedRAMP, CMMC, GDPR, etc. Researches and interprets current and pending governmental laws and regulations, industry standards and customer and vendor contracts to communicate compliance requirements to the business. Participates in industry forums monitoring developments in regulatory compliance Risk Management: Brings advanced level skills to assess the information security risk associated with existing and proposed business operational programs, systems, applications, practices and procedures in very complex, business-critical environments. Conduct and document very complex information security risk assessments and assist in the creation and implementation of security solutions and programs Cloud Security: In-dept knowledge of cloud security principles and best practices, including securing cloud infrastructure, services, and applications in platforms, OCI experience is a plus Threat and Vulnerability Management: Brings advanced level skills to research, evaluate, track, and manage information security threats and vulnerabilities in situations where in-depth analysis of ambiguous information is required Incident Management and response: Brings advanced level skills to respond to security events and responding in line with Oracle incident response playbooks to mitigate vulnerabilities Mentors and trains other team members Compiles information and reports for management Qualifications: Bachelor’s degree in computer science, Information Security, or a related field. Master's degree preferred 8+ years of experience in information systems, business operations, or related fields, 3+ years of experience in security operations, with a focus on incident detection, response, and vulnerability remediation Relevant certifications such as CISSP, CISM, CISA, or GIAC certifications are preferred Solid understanding of networking protocols, operating systems (Linux, Windows), MiddleTier, Database, cloud computing and end point computing management Excellent communication skills with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders Proven leadership abilities with experience leading security projects and initiatives independently Experience with security tools such as SIEM platforms, intrusion detection/prevention systems, and endpoint security solutions Ability to work independently and collaboratively in a fast-paced environment Strong analytical and problem-solving skills with a keen attention to detail Career Level - IC4 Responsibilities Oversee and manage internal audit processes to ensure adherence to security and compliance standards Act as the primary liaison between internal teams, facilitating effective communication and collaboration to ensure audits are completed efficiently and accurately Assess the effectiveness of security controls and ensure auditing requirements are clearly documented, defined and communicated to necessary teams Ensure the timely and accurate sharing of data across departments to support successful audit outcomes Continuously assess and enhance the organization’s security posture by addressing any identified weaknesses Lead and manage departmental risk management programs, ensuring alignment with broader organizational risk mitigation strategies Facilitate and drive disaster recovery (DR) planning and preparedness across departments to minimize operational disruptions in case of incidents Collaborate with cross-functional teams to establish and maintain robust security policies and procedures, ensuring alignment with industry best practices Make recommendations and provide guidance/consultation regarding process improvements necessary for remediating internal control gaps. Engage with required teams to close the gap Develop and maintain cybersecurity documentation such as the System Security Plan (SSP), Privacy Impact Assessment (PIA), Configuration Management Plan (CMP), Plan of Action and Milestones (POA&M), and Standard Operating Procedures (SOP) as necessary Develop, implement, and maintain industry best practices and regulatory security policies, procedures, and system standards (servers, databases, endpoints, and application design) Engagement in cloud security technologies and protocols, including cloud security architecture, identity and access management, and data protection Write stakeholder reports to explain the assessment, audit results, and recommendations. Create and provide metrics for cybersecurity leadership. Brief executive leadership on compliance matters About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Work with the entire creative team to establish a unified brand understanding and voice of the company, to elevate our innovation Will be a Subject Matter expert for the Creative team. The role will include supervising and leading the graphic designing team Develop creative briefs based on ideas established in brainstorming sessions with direction, schedules, and expected deliverables for the creative team. Participate in designing/redesigning computer graphics, web page graphics, logos, illustrations, advertisements, web-page mockups, infographic, brochures, and many other forms of visual communication including design conceptualization Obtain required approvals by presenting final layouts, storyboards, and illustrations. Present or oversee the presentation of final concepts and coordinate production and dissemination for clients and stakeholders. Troubleshooting design, staff, or process problems as they arise. Look for the latest industry best practices to improve design processes. Analyze and plan the framework of design according to the laid out concept and established specifications of the project Staying abreast of developments in web applications and programming languages Technical and Functional Skills: Bachelor's degree in computer science, business, or a related field 4+ years of experience in experience in Digital Creative Production (Ad Campaigns). The candidate should be an expert with a solid knowledge of image editing and video editing and Vfx software like Adobe Creative Suite especially on Adobe Photoshop, Illustrator, Premiere Pro, After effects, and InDesign Should be able to understand what the metric (impressions, clicks, and conversions) means and how to apply it to make informed decisions to produce incredibly engaging display ads for Social media (Facebook, Instagram, Twitter, Google, etc.) Hands-on experience in designing Marketing Campaigns for Social media [Facebook, Insta, Linkedin], static/animated banners, emailers, landing pages, microsites, and video assets for end-to-end digital campaigns for B2B clients preferably in food, travel, and media brands Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Client interfacing ability with confidence Ability to use a strong analytical and artistic approach to solve complex creative issues Ability to handle multiple projects and prioritize different tasks

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Work with the entire creative team to establish a unified brand understanding and voice of the company, to elevate our innovation Will be a Subject Matter expert for the Creative team. The role will include supervising and leading the graphic designing team Develop creative briefs based on ideas established in brainstorming sessions with direction, schedules, and expected deliverables for the creative team. Participate in designing/redesigning computer graphics, web page graphics, logos, illustrations, advertisements, web-page mockups, infographic, brochures, and many other forms of visual communication including design conceptualization Obtain required approvals by presenting final layouts, storyboards, and illustrations. Present or oversee the presentation of final concepts and coordinate production and dissemination for clients and stakeholders. Troubleshooting design, staff, or process problems as they arise. Look for the latest industry best practices to improve design processes. Analyze and plan the framework of design according to the laid out concept and established specifications of the project Staying abreast of developments in web applications and programming languages Technical and Functional Skills: Bachelor's degree in computer science, business, or a related field 4+ years of experience in experience in Digital Creative Production (Ad Campaigns). The candidate should be an expert with a solid knowledge of image editing and video editing and Vfx software like Adobe Creative Suite especially on Adobe Photoshop, Illustrator, Premiere Pro, After effects, and InDesign Should be able to understand what the metric (impressions, clicks, and conversions) means and how to apply it to make informed decisions to produce incredibly engaging display ads for Social media (Facebook, Instagram, Twitter, Google, etc.) Hands-on experience in designing Marketing Campaigns for Social media [Facebook, Insta, Linkedin], static/animated banners, emailers, landing pages, microsites, and video assets for end-to-end digital campaigns for B2B clients preferably in food, travel, and media brands Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Client interfacing ability with confidence Ability to use a strong analytical and artistic approach to solve complex creative issues Ability to handle multiple projects and prioritize different tasks

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Work with the entire creative team to establish a unified brand understanding and voice of the company, to elevate our innovation Will be a Subject Matter expert for the Creative team. The role will include supervising and leading the graphic designing team Develop creative briefs based on ideas established in brainstorming sessions with direction, schedules, and expected deliverables for the creative team. Participate in designing/redesigning computer graphics, web page graphics, logos, illustrations, advertisements, web-page mockups, infographic, brochures, and many other forms of visual communication including design conceptualization Obtain required approvals by presenting final layouts, storyboards, and illustrations. Present or oversee the presentation of final concepts and coordinate production and dissemination for clients and stakeholders. Troubleshooting design, staff, or process problems as they arise. Look for the latest industry best practices to improve design processes. Analyze and plan the framework of design according to the laid out concept and established specifications of the project Staying abreast of developments in web applications and programming languages Technical and Functional Skills: Bachelor's degree in computer science, business, or a related field 4+ years of experience in experience in Digital Creative Production (Ad Campaigns). The candidate should be an expert with a solid knowledge of image editing and video editing and Vfx software like Adobe Creative Suite especially on Adobe Photoshop, Illustrator, Premiere Pro, After effects, and InDesign Should be able to understand what the metric (impressions, clicks, and conversions) means and how to apply it to make informed decisions to produce incredibly engaging display ads for Social media (Facebook, Instagram, Twitter, Google, etc.) Hands-on experience in designing Marketing Campaigns for Social media [Facebook, Insta, Linkedin], static/animated banners, emailers, landing pages, microsites, and video assets for end-to-end digital campaigns for B2B clients preferably in food, travel, and media brands Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Client interfacing ability with confidence Ability to use a strong analytical and artistic approach to solve complex creative issues Ability to handle multiple projects and prioritize different tasks

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Work with the entire creative team to establish a unified brand understanding and voice of the company, to elevate our innovation Will be a Subject Matter expert for the Creative team. The role will include supervising and leading the graphic designing team Develop creative briefs based on ideas established in brainstorming sessions with direction, schedules, and expected deliverables for the creative team. Participate in designing/redesigning computer graphics, web page graphics, logos, illustrations, advertisements, web-page mockups, infographic, brochures, and many other forms of visual communication including design conceptualization Obtain required approvals by presenting final layouts, storyboards, and illustrations. Present or oversee the presentation of final concepts and coordinate production and dissemination for clients and stakeholders. Troubleshooting design, staff, or process problems as they arise. Look for the latest industry best practices to improve design processes. Analyze and plan the framework of design according to the laid out concept and established specifications of the project Staying abreast of developments in web applications and programming languages Technical and Functional Skills: Bachelor's degree in computer science, business, or a related field 4+ years of experience in experience in Digital Creative Production (Ad Campaigns). The candidate should be an expert with a solid knowledge of image editing and video editing and Vfx software like Adobe Creative Suite especially on Adobe Photoshop, Illustrator, Premiere Pro, After effects, and InDesign Should be able to understand what the metric (impressions, clicks, and conversions) means and how to apply it to make informed decisions to produce incredibly engaging display ads for Social media (Facebook, Instagram, Twitter, Google, etc.) Hands-on experience in designing Marketing Campaigns for Social media [Facebook, Insta, Linkedin], static/animated banners, emailers, landing pages, microsites, and video assets for end-to-end digital campaigns for B2B clients preferably in food, travel, and media brands Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Client interfacing ability with confidence Ability to use a strong analytical and artistic approach to solve complex creative issues Ability to handle multiple projects and prioritize different tasks

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Responsibilities Understanding clients' needs and expectations, their business and industry, accounting and control systems, employees, company values and industry-related IFRS or GAAP and GAAS issues Developing and demonstrating an understanding of the RSM audit approach, methodology and tools Performing audit procedures and tests in accordance with the RSM audit methodology based overall audit plan, ensuring proper documentation of work performed. Identifying areas of risk and accounting and auditing issues; discuss with engagement teams to solve issues that arise. Researching technical accounting issues Developing industry expertise Preparing audit reports, and management letters Exercising professional skepticism, judgment and adhere to the code of ethics while on engagements Ensuring that documentation is compliant with quality standards of the firm Working collaboratively as a part of the team and communicate effectively with RSM audit professionals Provide supervision and development training for associates Taking ownership of assigned tasks and deliverables to ensure service excellence through prompt responses to internal and external clients Providingtimely, high quality client service that meets or exceeds client expectations including coordinating the development and execution of the audit work plan and client deliverables Ensuring professional development through ongoing education Participating in a range of projects and open to collaborate and work with multiple teams; demonstrating critical thinking, problem solving, initiative and timely completion of work. Required Qualifications Bachelors in Commerce/MBA Qualified Chartered Accountant / ACCA / CPA 2-4 years of relevant experience working in an accounting and audit related field Strong technical skills in accounting including IFRS or GAAP and GAAS Strong multi-tasking and project management skills Excellent verbal and written communication (English) as the position requires frequent communications with RSM International clients and the United States based engagement teams Preferred Qualifications Experience in Industrial Goods industry preferred Strong Data Analytical skills including advanced Excel skills (Vlookups, pivot tables, and basic formulas), Word and PowerPoint.

Responsibilities Understanding clients' needs and expectations, their business and industry, accounting and control systems, employees, company values and industry-related IFRS or GAAP and GAAS issues Developing and demonstrating an understanding of the RSM audit approach, methodology and tools Performing audit procedures and tests in accordance with the RSM audit methodology based overall audit plan, ensuring proper documentation of work performed. Identifying areas of risk and accounting and auditing issues; discuss with engagement teams to solve issues that arise. Researching technical accounting issues Developing industry expertise Preparing audit reports, and management letters Exercising professional skepticism, judgment and adhere to the code of ethics while on engagements Ensuring that documentation is compliant with quality standards of the firm Working collaboratively as a part of the team and communicate effectively with RSM audit professionals Provide supervision and development training for associates Taking ownership of assigned tasks and deliverables to ensure service excellence through prompt responses to internal and external clients Providingtimely, high quality client service that meets or exceeds client expectations including coordinating the development and execution of the audit work plan and client deliverables Ensuring professional development through ongoing education Participating in a range of projects and open to collaborate and work with multiple teams; demonstrating critical thinking, problem solving, initiative and timely completion of work. Required Qualifications Bachelors in Commerce/MBA Qualified Chartered Accountant 2-4 years of relevant experience working in an accounting and audit related field Strong technical skills in accounting including IFRS or GAAP and GAAS Strong multi-tasking and project management skills Excellent verbal and written communication (English) as the position requires frequent communications with RSM International clients and the United States based engagement teams Preferred Qualifications Experience in Industrial Goods industry preferred Strong Data Analytical skills including advanced Excel skills (Vlookups, pivot tables, and basic formulas), Word and PowerPoint.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement