3201 Data Visualization Jobs - Page 31

Job Overview: We are seeking a skilled SAS Fraud Management Consultant to design, implement, and manage fraud detection solutions. The ideal candidate will use SAS tools to analyze data, develop fraud models, and monitor transactions for suspicious activities to protect the organization from financial and reputational risks. Key Responsibilities: Develop and implement fraud detection models using SAS Fraud Management and related tools. Monitor, analyze, and report on suspicious activities and transactions. Collaborate with cross-functional teams to refine fraud detection rules and strategies. Conduct data analysis and risk assessment to identify emerging fraud trends. Maintain and update fraud management systems and documentation. Qualifications: B.E, BTech, MTech, MCA, MA . 3 to 5 years of experience in SAS Fraud Management and data analytics. Proficiency in SAS, SQL, and data visualization tools. Strong analytical and problem-solving skills. Knowledge of financial services and fraud detection practices is preferred. Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad ,Remote

Job Overview: We are seeking a skilled SAS Fraud Management Analyst to design, implement, and manage fraud detection solutions. The ideal candidate will use SAS tools to analyze data, develop fraud models, and monitor transactions for suspicious activities to protect the organization from financial and reputational risks. Key Responsibilities: Develop and implement fraud detection models using SAS Fraud Management and related tools. Monitor, analyze, and report on suspicious activities and transactions. Collaborate with cross-functional teams to refine fraud detection rules and strategies. Conduct data analysis and risk assessment to identify emerging fraud trends. Maintain and update fraud management systems and documentation. Qualifications: B.E, BTech, MTech, MCA, MA . 3 to 5 years of experience in SAS Fraud Management and data analytics. Proficiency in SAS, SQL, and data visualization tools. Strong analytical and problem-solving skills. Knowledge of financial services and fraud detection practices is preferred. Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role & responsibilities Review financial month end close results in partnership with finance and accounting team, while proactively highlighting and resolving RCM issues and opportunities. Produce business entity RCM KPI dashboards and reporting with insightful commentary for leadership to take action. Develop, define, and measure RCM KPIs. Build and use data analytics to investigate and understand key RCM drivers, leading to recommendations for business improvements. Ensure accuracy of analysis and compliance with all standards and processes. Work with Business Intelligence tools and develop dashboard/metric reporting as needed. Preferred candidate profile 3-5 years of finance, accounting, RCM and/or related data analysis experience required. Expert knowledge of Microsoft Excel required. Graduated from Accredited College or University with BA, BS or higher degree(s) Healthcare and RCM experience preferred. Experience with SQL, PowerBI, Tableau, SmartSheet, PowerPivot, VBA Macros, and other technical systems a plus Perks and benefits

Data Science Trainer Codegnan IT Solutions Pvt Ltd **Location:** Hyderabad and Vijayawada Job Responsibilities: Deliver high-quality training sessions on Data Science, Machine Learning, and related topics. Prepare course materials, assignments, and projects for students. Assess student performance and provide feedback. Stay updated with the latest trends in Data Science and incorporate them into training modules. Support students in their learning journey with doubt clarification and project guidance. Required Qualifications & Skills: Bachelor's or Master’s degree in Computer Science, Data Science or related field. Strong knowledge of Python, statistics, machine learning algorithms, and data visualization tools. Prior teaching or training experience preferred. Excellent communication and presentation skills. Hands-on experience with tools like Jupyter, Pandas, NumPy, Scikit-learn, TensorFlow, etc.

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Veeva MyInsights expert with 5+ yrs exp in support & dev. Skilled in dashboards, data viz, SQL, scripting, and Veeva Vault. Handles user support, issue resolution, custom reports, training, and system optimization in a cross-functional environment.

Design and implement KPI-dashboards for key supply chain metrics performance indicators (DC & distribution network). Ensure data accuracy and reliability through ongoing analysis, testing, and refinement of reports and dashboards. Optimize data models and queries to improve visualization performance Train end-users on how to use Power BI reports and dashboards effectively Collect & analyse supply-chain dataset with respective functional-owner and derive conclusions/actionable. Oversee administration of masters data for DCs, XDs, Stores, LH & others SC-data; ensuring accuracy and consistency in power-BI. Conduct regular gap-analysis of supply chain data (OMS, TMS, SES), identify discrepancies and implement corrections in data set as necessary. Be participant in improvement programs in Supply Chain. Enable stakeholders with data for making informed decisions Prepare and present analytical reports, offer insights and actionable recommendations. Develop varied/new insights from current data-schema & present to SC-stakeholders.

Only Mumbai Candidates are preferred. JD Requirement Gathering And Analysis - Document and Analyse business requirement from various stakeholders. Solution Design - Design and Configure salesforce solutions based on business needs. Ensuring alignment with organisation goals. Process optimisation - Identify and design workflows to improve business process and automation within salesforce and associated tools Documentation and Colloboration - Working closely with support and development team to ensure successful implementation and adoption Testing and Training - Participate in UATs with stakeholders and ensuring right trainings given to new/ existing users Solution implementation and data management - Ensuring implementation and scalability keeping budgets control and ensuring the data accuracy, and integrity Reporting - Using salesforce reporting and analytics for tracking performance Experience: 4-5 Years of experience in Similar role preferably for Construction/ Real estate domain Technical Skills: Strong knowledge of Data analysis and Modeling, Statistical analysis skills, Python or R with Machine Learning Skills, Data visualization

Job Summary We are seeking a highly motivated Investment Management Analyst to join our Asset Based Finance (ABF) team within the Structured Finance Group. As an integral part of our team, you will gain exposure to a diverse portfolio of Asset-Backed Securities (ABS) investments and play a pivotal role in underwriting, monitoring, and managing these deals for our institutional clients. Responsibilities: Deal ManagementCollaborate closely with ABF Deal Analysts to assist in investment management and monitoring activities for structured finance deals. IC MemosSupport the deal team in updating Investment Committee approval memos, ensuring a comprehensive understanding of each deal's intricacies. Term sheetsAnalyze closing documents such as credit agreements, indentures and note purchase agreements and set up processes for analyzing and monitoring the deal post-closing. Due DiligencePerform pre-deal due diligence and stratify the collateral pool using Python to assess risk and investment potential. Surveillance and ReportingUpdate surveillance data and create one-pagers for presentations to senior management for both Public and Private deals. Cashflow ModelingDevelop and update cashflow models for structured finance deals. Monitor key metrics to assess risk and expected returns. Conduct stress case scenarios and analyze their impact on repayments. Collateral AnalysisCreate and update asset-level one-pagers for collateral analysis, assisting in underwriting and post-deal monitoring. Asset ValuationTrack and review revaluation events for underlying assets, ensuring accurate pricing of collateral. Sector-Level AnalysisUpdate monthly sector-level presentations and pro-actively highlight potential issues to senior management. Covenant MonitoringContinuously monitor covenants and key performance indicators (KPIs) at the deal level, thereby assist the Business Analytics team to run portfolio-level analysis. Ad Hoc ProjectsUndertake multiple ad hoc projects as requested by senior management to assess the impact of macro events. Client request/ CompliancesEnsure compliance with investor requirements from an investment management perspective. Data and ToolsLeverage advanced tools such as Intex and Python for in-depth analysis. Utilize Tableau, Street Diligence and Sigma for enhanced data visualization. Skills Required: MBA in Finance, CFA, or CA qualification. Experience in analyzing Asset Backed Finance deal structures and collateral is a plus. Strong analytical and quantitative skills. Proficiency in Microsoft Office tools (MS Excel, MS PowerPoint, and MS Word). Ability to summarize complex information succinctly and efficiently. Excellent written and verbal communication skills. Ability to manage multiple projects in a fast-paced environment. Detail-oriented with a commitment to accuracy and precision. Ability to work independently and collaboratively while demonstrating high sense of ownership and accountability. Thorough understanding of basic financial concepts and the ability to critically implement them. Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed

Job titleSenior Analyst Investment Management BandB2 -Senior Analyst LocationBengaluru Experience RangeMinimum 4 year Shift Timings-2:00 PM - 11:30 PM IST Job Summary We are seeking a highly motivated Investment Management Analyst to join our Private High Grade (PHG) team. As an integral part of our team, you will gain exposure to a diverse portfolio of Private Credit investments and play a pivotal role in underwriting, monitoring, and managing these deals for our institutional clients. Responsibilities: Deal ManagementCollaborate closely with PHG Deal Analysts to assist in investment management and monitoring activities for the deals. IC MemosSupport the deal team in updating Investment Committee approval memos, ensuring a comprehensive understanding of each deal's intricacies. Term sheetsAnalyze closing documents such as credit agreements, indentures and note purchase agreements and set up processes for analyzing and monitoring the deal post-closing. Due DiligencePerform pre-deal due diligence to assess risk and investment potential. Surveillance and ReportingUpdate surveillance data and create one-pagers for presentations to senior management for both Public and Private deals. Cashflow ModelingDevelop and update cashflow models for PHG deals. Monitor key metrics to assess risk and expected returns. Projection Models and Sensitivity AnalysisCreate and update projection models and run sensitivity analysis to judge the performance of the deal. Sector-Level AnalysisUpdate monthly sector-level presentations and pro-actively highlight potential issues to senior management. Covenant MonitoringContinuously monitor covenants and key performance indicators (KPIs) at the deal level, thereby assist the Business Analytics team to run portfolio-level analysis. Ad Hoc ProjectsUndertake multiple ad hoc projects as requested by senior management to assess the impact of macro events. Client request/ CompliancesEnsure compliance with investor requirements from an investment management perspective. Data and ToolsLeverage advanced tools such as Python for in-depth analysis. Utilize Tableau for enhanced data visualization. Skills Required: MBA in Finance, CFA, or CA qualification. Experience in analyzing Corporate Credit Analysis is a plus. Strong analytical and quantitative skills. Proficiency in Microsoft Office tools (MS Excel, MS PowerPoint, and MS Word). Ability to summarize complex information succinctly and efficiently. Excellent written and verbal communication skills. Ability to manage multiple projects in a fast-paced environment. Detail-oriented with a commitment to accuracy and precision. Ability to work independently and collaboratively while demonstrating high sense of ownership and accountability. Thorough understanding of basic financial concepts and the ability to critically implement them. Deliver excellent customer service through effective diagnosis and troubleshooting of client queries Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Assist clients with navigating around product menus and facilitate better understanding of product features Troubleshoot all client queries in a user-friendly, courteous and professional manner Maintain logs and records of all customer queries as per the standard procedures and guidelines Accurately process and record all incoming call and email using the designated tracking software Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract /SLAs Build capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Partner with team leaders to brainstorm and identify training themes and learning issues to better serve the client Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed

Job Summary As a key member of the analytics team, you will work closely with consulting teams to understand and address clients' business challenges. Utilizing advanced analytics tools, you will systematically analyze data to derive actionable insights that drive strategic decisions. Your deep knowledge of supply chain data, paired with a strong business acumen, will enable you to solve complex problems in this domain. You will typically lead junior analytics team members to own delivery on their assignments. Roles & Responsibilities Lead end-to-end product development of spend analytics and procurement automation solutions. A bachelors degree in engineering, Computer Applications, Mathematics, or a related field from a Tier 1 university. 4-5 years of experience in Business Intelligence (BI) projects, specifically as a Qlik Sense, Tableau, or Power BI Developer. Proven ability to build, maintain, and enhance Qlik data visualizations that help drive business insights. Experience transitioning PowerPoint wireframes and Excel reports into interactive Qlik Sense dashboards. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. Proficiency in MS Excel, MS PowerPoint, and MS Access, with the ability to handle complex data sets and present findings effectively. Qualification Professional & Technical Skills Good at technical troubleshooting, monitoring, and reporting activities. Prior experience in data / spend analysis. Good spoken and written English communication skills - should be able to participate in global team calls. Excellent spoken and written English communication skills, enabling seamless participation in global team calls and client discussions. A quick learner who thrives in a fast-paced, team-oriented environment. Additional experience in Power BI / Tableau and SQL Coding will be preferred.

Job Title: Trainee Engineer Location: Chennai - Work from Office Eligibility: BE/BTech AI & DS with >=70% CGPA. No standing Arrears Salary: 3.6 LPA Key Responsibilities: Work closely with cross-functional teams to design, develop, and implement AI-driven tools and automation solutions. Collaborate with internal stakeholders to understand process pain points and identify AI/ML use cases to enhance efficiency and decision-making. Assist in the creation and testing of AI models using NLP, data analytics, and machine learning for internal operational improvements. Contribute to data collection, preprocessing, and pipeline design for training AI solutions. Help evaluate existing platforms and explore AI integrations with existing internal tools. Support documentation and knowledge base development for internal AI solutions. Participate in project sprints, meetings, and brainstorming sessions for innovation in employee experience and shared services. Create and contribute to knowledge base articles and internal knowledge-sharing forums. Required Skill Set: Technical Skills: Foundational understanding of AI/ML concepts, including supervised learning, NLP, and basic data science workflows. Strong programming skills in Python (preferred), with familiarity in libraries like Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch. Exposure to data querying and visualization. Awareness of modern AI tools such as ChatGPT, Copilot, or other Generative AI platforms. Knowledge in enterprise automation platforms. Process & Tools Knowledge: Familiarity with agile working methodologies. Willingness to learn internal tools and enterprise platforms. Understanding of data security and compliance basics. Soft Skills & Behavioral Competencies: Strong analytical and problem-solving mindset. Eagerness to learn and grow in a dynamic AI-centric environment. Ability to collaborate and communicate effectively with stakeholders. Adaptability, curiosity, and a proactive approach to innovation.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Database Architecting. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions Dos 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deilver No.Performance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

Role Purpose The purpose of this role is to provide solutions and bridge the gap between technology and business know-how to deliver any client solution Please find the below JD Exp5-8 Years Good understanding of DWH GCP(Google Cloud Platform) BigQuery knowledge Knowledge of GCP Storage GCP Workflows and Functions Python CDC Extractor Tools like(Qlik/Nifi) BI Knowledge(like Power BI or looker) 2. Skill upgradation and competency building Clear wipro exams and internal certifications from time to time to upgrade the skills Attend trainings, seminars to sharpen the knowledge in functional/ technical domain Write papers, articles, case studies and publish them on the intranet Deliver No. Performance Parameter Measure 1. Contribution to customer projects Quality, SLA, ETA, no. of tickets resolved, problem solved, # of change requests implemented, zero customer escalation, CSAT 2. Automation Process optimization, reduction in process/ steps, reduction in no. of tickets raised 3. Skill upgradation # of trainings & certifications completed, # of papers, articles written in a quarter Mandatory Skills: Cloud-PaaS-GCP-Google Cloud Platform. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Enterprise Architecting. Experience3-5 Years.