20224 Tableau Jobs - Page 13

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

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

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables 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, 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 Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables 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, 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 Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

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

2-4 years of experience using Microsoft SQL Server (version 2008 or later). Ability to create and maintain complex T-SQL queries, views, and stored procedures. 0 -1+ year experience performing advanced ETL development including various dataflow transformation tasks. Ability to monitor the performance and improve the performance by optimizing the code and by creating indexes. Proficient with Microsoft Access and Microsoft Excel Knowledge of descriptive statistical modeling methodologies and techniques such as classification, regression, and association activities to support statistical analysis in various healthcare data. Strong knowledge of Data Warehousing concepts Strong written, verbal and Customer service skills Proficiency in compiling data, creating reports and presenting information, including expertise with query, MS Excel and / or other such product like SSRS, Tableau, PowerBI, etc Proficiency on various data forms including but not limited to star and snowflake schemas. Ability to translate business needs into practical applications Desire to work within a fast-paced environment Ability to work in a team environment and be flexible in taking on various projects

So, what’s the role all about? We are seeking a skilled Senior Data Engineer to join our Actimize Watch Data Analytics team. In this role, you will collaborate closely with the Data Science team, Business Analysts, SMEs to monitor and optimize the performance of machine learning models. You will be responsible for running various analytics on data stored in S3, using advanced Python techniques, generating performance reports & visualization in Excel, and showcasing model performance & stability metrics through BI tools such as Power BI and Quick Sight. How will you make an impact? Data Integration and Management: Design, develop, and maintain robust Python scripts to support analytics and machine learning model monitoring. Ensure data integrity and quality across various data sources, primarily focusing on data stored in AWS S3. Check the data integrity & correctness of various new customers getting onboarded to Actimize Watch Analytics and Reporting: Work closely with Data Scientists, BAs & SMEs to understand model requirements and monitoring needs. Perform complex data analysis as well as visualization using Jupyter Notebooks, leveraging advanced Python libraries and techniques. Generate comprehensive model performance & stability reports, showcase them in BI tools. Standardize diverse analytics processes through automation and innovative approaches. Model Performance Monitoring: Implement monitoring solutions to track the performance and drift of machine learning models in production for various clients. Analyze model performance over time and identify potential issues or areas for improvement. Develop automated alerts and dashboards to provide real-time insights into model health. Business Intelligence and Visualization: Create and maintain dashboards in BI tools like Tableau, Power BI and QuickSight to visualize model performance metrics. Collaborate with stakeholders to ensure the dashboards meet business needs and provide actionable insights. Continuously improve visualization techniques to enhance the clarity and usability of the reports. Collaboration and Communication: Work closely with cross-functional teams, including Data Scientists, Product Managers, Business Analysts and SMEs to understand requirements and deliver solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Provide support and training to team members on data engineering and analytics best practices and tools. Have you got what it takes? 5 to 7 years of experience in data engineering, with a focus on analytics, data science and machine learning model monitoring. Proficiency in Python and experience with Jupyter Notebooks for data analysis. Strong experience with AWS services, particularly S3 and related data processing tools. Expertise in Excel for reporting and data manipulation. Hands-on experience with BI tools such as Tableau, Power BI and QuickSight. Solid understanding of machine learning concepts and model performance metrics. Strong Python & SQL skills for querying and manipulating large datasets. Excellent problem-solving and analytical skills. Ability to work in a fast-paced, collaborative environment. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with other AWS services like S3, Glue as well as BI tools like QuickSight & PowerBI Familiarity with CI/CD pipelines and automation tools. Knowledge of data governance and security best practices. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7900 Reporting into: Tech Manager Role Type: Individual Contributor

Job Summary We are seeking a highly motivated individual for the PE-Maps role with a focus on enhancing communication and collaboration within our team. The ideal candidate will have excellent English speaking skills and a keen interest in the ISV domain. This entry-level position offers an opportunity to work from our office during day shifts contributing to our innovative projects. Responsibilities Communicate effectively with team members and stakeholders to ensure project goals are met. Collaborate with cross-functional teams to develop and implement project plans. Assist in the preparation of project documentation and reports. Participate in team meetings and contribute ideas for process improvements. Support the team in identifying and resolving project-related issues. Monitor project progress and provide regular updates to the project manager. Conduct research and analysis to support project decision-making. Utilize strong English communication skills to facilitate clear and concise information exchange. Engage with the ISV domain to gain insights and apply them to project tasks. Maintain a high level of professionalism and integrity in all interactions. Adapt to changing project requirements and priorities as needed. Demonstrate a willingness to learn and grow within the role. Ensure all project activities align with the companys objectives and values. Qualifications Possess excellent English speaking and communication skills. Demonstrate a strong interest in the ISV domain. Show ability to work effectively in a team-oriented environment. Exhibit strong organizational and time management skills. Display a proactive approach to problem-solving and decision-making. Have a basic understanding of project management principles. Be eager to learn and develop new skills in a professional setting.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Transformation Delivery-Strategic Hiring – IT PM-PMO Manager The Transformation Delivery practice at EY provides a rewarding career opportunity, targeted toward becoming a professional in complex business, technology and infrastructure transformation, not simply being a generalist. If you have a passion for rallying together to solve the most complex challenges in today’s marketplace, come join our dynamic TD&E team! The opportunity Our clients are seeking and hiring a new type of Transformation Delivery expert – one who provides strategic guidance but is also deeply embedded in the delivery and success of their programs. Traditional suppliers, such as strategy houses, systems integrators and engineering project management consultants, cannot provide the complete service our clients now demand. Our insights and capabilities across all portfolio levels in planning, analysis and delivery are integrated into our core offerings, and this exemplifies our unique viewpoint over traditional program management. We also offer services that focus on 'bridging the gap’ between execution and strategy primarily by designing and implementing frameworks and solutions that allow companies to make data-driven decisions to optimize and manage portfolios and programs/projects. With digital transformations being a focus of EY, we have incorporated technology into our processes, automating manual work and enabling us to provide greater insights and value to our clients. Your Key Responsibilities A successful Transformation Delivery Manager will work with our clients to design and establish large-scale transformations, Program Management Office (PMO) processes, and Project Portfolio Management solutions to effectively manage high-profile, complex programs by applying proven EY frameworks and methodologies based on industry recognized global standards. Collaborate with the IT delivery team to lead the program, working with the Technology Solutions team to leverage technology for process support in the overall solution design. You will work with engagement leadership to design and establish core processes while leading a delivery team in planning, budgeting, controlling, and executing complex programs and PMO offices. In your role, you will gain valuable insights and help drive strategic conversations with key stakeholders. Key deliverables that you will work on are: Assessments and Process Design Capability Roadmap Development and execution Delivery and Operating model IT PMO Setup & Operations Responsibilities, Skills, And Attributes For Success Excellent communication and presentation skills and be able to express yourself effectively, by breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels Team player that collaborates well in a group setting to quickly and effectively accomplish tasks Flexibility in embracing and adapting to change Be able to strive in ambiguous environments and use analytical and creative thinking to find and develop innovative solutions to complex problems. Be curious and pay attention to detail, exercise active listening and be to anticipate and identify risks and escalate issues as appropriate Foster an innovative and inclusive team-oriented work environment and demonstrate leadership by playing an active role in counselling and mentoring junior consultants within the organization Possess good business acumen and remain current on new developments in consulting capabilities and industry trends Demonstrate in-depth technical expertise and professional knowledge by understanding current and emerging technologies and platforms and provide relevant recommendations to clients. Develop and maintain long-term client relationships and networks Develop and maintain relationships with team members across EY practices to serve client needs Cultivate and participate in business development opportunities. Understand EY and its service lines and actively assess/present ways to serve clients. Support planning activities for large, complex client programs Own tracking activities for key milestones and deliverables to ensure project stays on track according to plan Develop key reports and communicate relevant client insights To qualify for the role, you must have A bachelor’s degree (BE - B. Tech / MCA) and a minimum of 7-10 years of related work experience; or a post graduate degree (MBA/PGDBM) and a minimum of 6 years of related work experience Approximately 5+ years of experience in delivering large-scale, complex programs and multi-competency projects across multiple distributed delivery locations, with full accountability for providing consulting services in at least one of the following areas: PMO/EPMO design and setup, program roadmapping, resource and capacity management, program execution, and budget management. PMO maturity assessment, PMO Setup & Operations End-to End Portfolio Management implementation – intake and demand management, portfolio prioritization, portfolio selection, financial management Managing large transformations Excellent stakeholder management skills, with experience in engaging and managing strategic-level stakeholders Demonstrated excellent oral and written communication skills Flexible to work in US and UK time zones Strong knowledge of Microsoft Office (Excel, PowerPoint, Word) Knowledge of trending Project Management tools (e.g. MS Project Online/Clarity PPM/ Primavera) One or more relevant Sector exp (Pharma/ Healthcare/Lifesciences, CPR, P&U, Insurance, WAM) Good to have Understanding of Agile Methodologies Business analysis skills End-to End ERP implementation Knowledge of Power BI, Power Apps Tableau, Jira, Azure DevOps (ADO) Potential certifications include: PMP, Six Sigma, Scrum, Agile SAFe. Experience supporting and participating in pursuit efforts. Experience with the end-to-end RFP process (RFP, Response, Proposal, Client Presentation, SOW and Execution) and understanding of client procurement processes What We Look For We look for people who can develop and implement creative solutions to challenging problems and work well with teams to accomplish it. We look for people with an entrepreneurial spirit: innovative by nature, always creating new approaches, products, services, and technologies. Helping clients solve tough problems and implement solutions requires strong intellectual abilities and rigor as well as a practical sense of what works and what does not. We seek people who strive to lead themselves, their teams, and their communities, and who can foster effective teamwork to drive results. Is this you? What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Additionally, you will be part of an interdisciplinary environment that emphasizes high-quality delivery and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career Freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solutionThe ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and businessAbility to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes The person should also be able to efficiently work with an offshore team to produce outcomes in a timely manner.The person should have a good experience in handling generative AI model.The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive modelsIdeal candidate should have hands on experience using Machine Learning TechniquesGood knowledge of model development experience using PythonHe / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholdersShould possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations.Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value addHands on experience in developing models (end to end)Experience with Natural Language ProcessingPython for Data Science (mandatory), Good proficiency in end to end coding which includes deployment experience.Experience processing large data.Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plusFunctional/Domain Experience:Good exposure to BFSI domain ( Insurance is preferred) Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA

Deloitte is looking for Advisory- Consultant- Hyderabad to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

KPMG India is looking for Senior - Data Science to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

KPMG India is looking for Analyst - Intelligent Automation Packaged Product to join our dynamic team and embark on a rewarding career journeyThe Senior Analyst plays a crucial role in driving data-driven decision-making processes within the organization. This position involves analyzing complex data sets, generating actionable insights, and providing strategic recommendations to support key business initiatives.Key Responsibilities:Data Analysis:Conduct in-depth analysis of large and complex datasets to extract meaningful insights.Utilize statistical and data visualization tools to present findings in a clear and concise manner.Strategic Planning:Collaborate with cross-functional teams to understand business objectives and provide analytical support for strategic initiatives.Develop and maintain models to support forecasting, budgeting, and other planning processes.Reporting and Dashboards:Design and create comprehensive reports and dashboards to track key performance indicators (KPIs) and metrics.Automate reporting processes to improve efficiency and accuracy.Trend Analysis:Identify trends and patterns in data to help anticipate opportunities and challenges.Provide insights on market trends, competitor analysis, and industry benchmarks.Decision Support:Assist senior management in making informed decisions by providing data-driven recommendations.Evaluate the impact of proposed strategies on business outcomes.Process Improvement:Identify areas for process improvement and efficiency gains based on data analysis.Collaborate with teams to implement changes and measure the impact.

Aster Medcity is looking for Senior Consultant.Obstetrics to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Aster Medcity is looking for Associate Consultant to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Aster Medcity is looking for Associate Consultant.PICU to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

HSBC electronic data processing india pvt ltd is looking for Consultant Specialist to join our dynamic team and embark on a rewarding career journeyThe Consultant Specialist plays a critical role in providing specialized expertise and consulting services to clients or within the organization. This position involves offering strategic insights, solving complex problems, and delivering high-quality solutions tailored to the unique needs of clients or projects.Key Responsibilities:Consultation and Analysis:Conduct in-depth analysis and assessment of client needs, challenges, and objectives.Offer expert advice and guidance to clients on relevant industry trends, best practices, and strategies.Develop comprehensive solutions to address client issues and achieve desired outcomes.Project Management:Plan and execute consultancy projects, ensuring adherence to timelines and budgets.Monitor project progress, identify potential risks, and implement mitigation strategies.Collaborate with cross-functional teams to deliver integrated solutions.Data Analysis and Research:Collect, analyze, and interpret data to provide data-driven insights.Conduct research to stay updated on industry developments and emerging trends.Create reports and presentations to communicate findings effectively.Client Relationship Management:Cultivate strong, long-term relationships with clients and stakeholders.Communicate regularly with clients to ensure their needs are met and expectations are exceeded.Identify opportunities for additional services and business growth.Training and Knowledge Sharing:Provide training, workshops, or presentations to clients or internal teams as needed.Share expertise and knowledge with colleagues to enhance overall team capabilities.

BI Solution Design & Architecture Design and implement scalable and efficient Power BI solutions. Define the overall data architecture strategy aligned with business goals. Ensure integration with existing data platforms, warehouses, and cloud services. Dashboard & Report Development Develop, manage, and maintain advanced Power BI dashboards and reports. Translate complex data into clear, actionable visualizations. Optimize performance and usability of reports for end users. Data Modeling & Integration Create and manage data models using DAX and Power Query. Integrate data from multiple sources including SQL, Excel, APIs, and cloud platforms. Ensure data accuracy, consistency, and security across all reports. Collaboration & Stakeholder Engagement Work closely with business stakeholders to gather requirements and deliver insights. Collaborate with data engineers, analysts, and IT teams to ensure data readiness. Provide training and support to Power BI users across the organization. Governance & Best Practices Establish and enforce Power BI development standards and governance policies. Ensure compliance with data privacy and security regulations. Promote self-service BI while maintaining control over critical data assets. Continuous Improvement Stay updated with the latest Power BI features and industry trends. Recommend improvements to existing BI systems and processes. Lead proof-of-concept initiatives for new BI tools or methodologies. Key Skills & Qualifications Strong experience in Power BI development and architecture. Proficiency in DAX, Power Query, and SQL. Solid understanding of data warehousing, ETL processes, and cloud platforms (e.g., Azure). Excellent communication and stakeholder management skills. Bachelors or Masterdegree in Computer Science, Information Systems, or related field. SENIOR TABLEAU Developer: Solution Architecture & Design Design scalable and secure Tableau solutions tailored to business needs. Architect end-to-end BI solutions using Tableau Desktop, Server, Cloud, and Prep. Define data visualization strategies aligned with enterprise data architecture. Data Integration & Modeling Integrate Tableau with various data sources (SQL, cloud platforms, APIs). Design and optimize data models for performance and usability. Ensure data consistency, accuracy, and governance across dashboards. Platform Management Deploy, configure, and maintain Tableau Server or Tableau Cloud environments. Monitor system performance, manage user access, and ensure platform scalability. Implement automation for backups, upgrades, and monitoring. Stakeholder Collaboration Work with business users, analysts, and IT teams to gather requirements. Translate business needs into technical specifications and visual solutions. Provide training and support to Tableau users across departments. Governance & Best Practices Establish and enforce Tableau development standards and governance policies. Implement security protocols, row-level security, and data access controls. Promote self-service BI while maintaining centralized oversight. Innovation & Continuous Improvement Stay updated with the latest Tableau features and industry trends. Lead proof-of-concept initiatives and evaluate new BI tools. Recommend enhancements to improve data visualization and user experience. Key Skills & Tools Proficiency in Tableau Desktop, Server, Cloud, and Prep. Strong SQL and data modeling skills. Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of scripting (Python, R) and APIs is a plus. Excellent communication and stakeholder management skills.

Senior Bench Sales Recruiter Desired Candidate Profile: Excellent English communication skills (Oral and Written)-9/10 4+ years experience into bench sales Roles and Responsibilities Need someone with experience in fetching Fulltime, W2 roles for USC, GC and H4 EAD consultants. Marketing the consultant resumes of Power BI, Data Analyst, Data Engineer, SQL/Tableau Developer for mid level to senior level roles. Have a passion for the staffing industry and a desire to help people reach their career goals. He/she should possess good knowledge of various technologies in the US IT market. Working experience with prime vendors/Clients Responsible for getting new leads for consultants on the bench, schedule interviews, following up and placing consultants on the job Expert in job portal searches likes Dice, Monster, Career Builder, Tech fetch, indeed, LinkedIn etc. and other networking methods and marketing of candidates on bench via requirements received in email, dice, techfetch, etc. Submit the candidates for the suitable positions and follow up with Vendors by Phone or mail regarding the rates and client interviews. Excellent Interpersonal skills and prior experience in interviewing candidates on a basic skill set is a must.

About the Role Seekho is hiring fresh, data-obsessed analysts to power our retention and revenue experiments. As a Business Analyst Growth & Strategy , you ll work directly with the VP Growth , translating raw data into sharp insights that guide product, marketing, and leadership decisions. This is a high-impact, high-visibility role with fast learning and ownership. Key Mandates Build rapid-fire dashboards to track user cohorts, LTV, funnel drop-offs, and retention Analyze A/B test results, size opportunities, and flag growth levers for Product and Marketing Translate insights into crisp, actionable stories for executive decisions and board decks The Profile We Need 0 2 years of experience in analytics, growth, or strategy roles Or a stellar STEM graduate with strong project or internship exposure Fluency in SQL and Excel is a must; Python/R and BI tools like Looker or Tableau are a bonus A curious, fast executor who can simplify complex data into plain English What s on the Table Direct access to founders and leadership High-visibility, high-impact projects from day one Rapid skill development and growth opportunities Competitive cash + ESOP package

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Operations Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. As part of the Global Business Growth & Automation (GBGA) team, we are at the forefront of innovation within Salesforce. We partner with our internal product, business technology, sales, and revenue teams to deliver cutting-edge tools and platforms for Salesforce employees. We are an agent-first organization, using our own technology to augment our workforce with autonomous agents. We work deeply within the Salesforce platform to ensure that we are Customer Zero, making the most of the Salesforce platform by rapidly launching new features to our employee base as they are released. Why Join Us This Data Analyst will thrive knowing that their work has a direct impact on thousands of Salesforce employees as they deliver success for our customers. Role Overview Our team is focused on measuring the impact of GBGA initiatives on the wider Salesforce business. We provide data-driven decision support to our partner stakeholders to ensure we are focusing our development efforts on the most impactful areas. We measure the adoption of the functionality deployed by GBGA and provide real-time support to the business and change enablement teams to ensure successful project rollouts. We provide visibility to top leaders about the impact that these initiatives have made to the business. We partner with business leaders to define, benchmark, and visualize key process and outcome measures for their teams. Key Responsibilities A hands-on analyst: Design, build and manage multi-source dashboards that generate actionable insights to serve specific purposes and cater to the different needs of stakeholders Collaborate closely with business stakeholders to understand their objectives and translate them into clear, insightful, and visually compelling dashboards that support strategic decision-making. . Translate complex datasets into engaging and persuasive stories to communicate key insights to various stakeholders. Develop narratives that resonate with both technical and non-technical audiences. Ensure visualizations adhere to best practices for data accuracy, user experience and performance. Stay informed about the latest trends and advancements in analytics tools and techniques, with a keen interest in applying them to uncover or demonstrate business value. Desired Skills And Experience 2-4 years of experience in Business Intelligence and/or data analytics/visualization role. Expert knowledge on data visualization tools including Tableau. Familiarity with different approaches of metrics/dashboards (e.g: executive, operational, support, data quality, performance, risk, behavioral, personalized etc.) Excellent analytical and problem-solving abilities. Good understanding of SQL for querying and data preparation. Understands and adapts to the working style of cross functional and global stakeholders/team members in an always evolving environment. Effectively communicates(written and verbal) with them to move projects forward. Being active in the Tableau community and/or having an established Tableau Public portfolio is a plus. Familiarity with Salesforce Sales Cloud, Salesforce Revenue Cloud and the lead-to-cash process is a plus. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Lodha Group is looking for Data Analyst (Pre-Sales) to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Job Description: Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and maintain dashboards and visualizations using tools like Power BI, Tableau, or similar. Identify, analyze, and interpret trends or patterns in complex data sets. Work closely with management to prioritize business and information needs. Acquire data from primary or secondary sources and maintain databases/data systems. Filter and clean data, and review reports and performance indicators to locate and correct problems. Provide actionable insights and recommendations based on data analysis. Experience Range: 0 - 1 years Educational Qualifications: Any graduation Skills Required: Data Analysis

Must have at least five (5+) years of experience analyzing data and developing reports and dashboards using Power BI data visualization, Tableau Devise and execute a strategic vision for Power BI, Tableau, aligning it with organizational goals and fostering a culture of data-driven decision-making. Lead the end-to-end implementation of Power BI, Tableau solutions, from data acquisition and transformation to the creation of dynamic and impactful dashboards. Architect scalable and efficient data models in Power BI, Tableau leveraging DAX to create sophisticated calculations and aggregations. Craft visually compelling dashboards and reports that provide actionable insights, utilizing DAX for advanced analytics and calculations. Design and optimize DAX expressions for calculated columns, measures, and calculated tables to ensure efficient and accurate data modeling. Conduct regular code reviews, ensuring adherence to best practices in Power BI development. Optimize Power BI, Tableau performance by fine-tuning DAX queries, data models, and report designs. Implement caching strategies and other performance-enhancing techniques to ensure a seamless user experience. Implement and enforce data governance policies specific to Power BI, Tableau solutions. Collaborate with data stewards to ensure data quality, compliance, and the secure handling of sensitive information. Establish role-based access controls within Power BI, Tableau to manage user permissions effectively.