2510 Data Visualization Jobs - Page 40

Roles and Responsibilities Architect and incorporate an effective Data framework enabling end to end Data Solution. Understand business needs, use cases and drivers for insights and translate them into detailed technical specifications. Create epics, features and user stories with clear acceptance criteria for execution and delivery by the data engineering team. Create scalable and robust data solution designs that incorporate governance, security and compliance aspects. Develop and maintain logical and physical data models and work closely with data engineers, data analysts and data testers for successful implementation of them. Analyze, assess and design data integration strategies across various sources and platforms. Create project plans and timelines while monitoring and mitigating risks and controlling progress of the project. Conduct daily scrum with the team with a clear focus on meeting sprint goals and timely resolution of impediments. Act as a liaison between technical teams and business stakeholders and ensure. Guide and mentor the team for best practices on Data solutions and delivery frameworks. Actively work, facilitate and support the stakeholders/ clients to complete User Acceptance Testing ensure there is strong adoption of the data products after the launch. Defining and measuring KPIs/KRA for feature(s) and ensuring the Data roadmap is verified through measurable outcomes Prerequisites 5 to 8 years of professional, hands on experience building end to end Data Solution on Cloud based Data Platforms including 2+ years working in a Data Architect role. Proven hands on experience in building pipelines for Data Lakes, Data Lake Houses, Data Warehouses and Data Visualization solutions Sound understanding of modern Data technologies like Databricks, Snowflake, Data Mesh and Data Fabric. Experience in managing Data Life Cycle in a fast-paced, Agile / Scrum environment. Excellent spoken and written communication, receptive listening skills, and ability to convey complex ideas in a clear, concise fashion to technical and non-technical audiences Ability to collaborate and work effectively with cross functional teams, project stakeholders and end users for quality deliverables withing stipulated timelines Ability to manage, coach and mentor a team of Data Engineers, Data Testers and Data Analysts. Strong process driver with expertise in Agile/Scrum framework on tools like Azure DevOps, Jira or Confluence Exposure to Machine Learning, Gen AI and modern AI based solutions. Experience Technical Lead Data Analytics with 6+ years of overall experience out of which 2+ years is on Data architecture. Education Engineering degree from a Tier 1 institute preferred. Compensation The compensation structure will be as per industry standards

Job Title: Power BI Engineer Location: Fully Remote (Preferred candidates in Pune, but open to all) Work Hours: 4:30 PM to 1:30 AM IST Experience Required: 7+ Years We are seeking an experienced Power BI Engineer to join our team. The ideal candidate has a strong background in data analytics, visualization, and business intelligence, with a proven track record of designing and implementing impactful dashboards and reports. This role requires advanced skills in Power BI, data modeling, DAX, and ETL processes, as well as experience with large datasets and complex data transformations. Key Responsibilities: Design, develop, and deploy Power BI dashboards and reports to provide insights that drive business decisions. Work closely with business stakeholders to gather and translate requirements into scalable, impactful data visualizations. Implement and optimize data models, using DAX to create robust calculations and complex measures. Integrate and manage diverse data sources, including SQL databases, cloud services (e.g., Azure), APIs, and flat files. Conduct data analysis and quality assurance to ensure data accuracy and report integrity. Develop ETL processes using Power Query, SQL, and Azure Data Factory to extract, transform, and load data. Implement row-level security (RLS) and ensure adherence to data governance and security policies. Perform performance tuning on Power BI dashboards, ensuring efficient load times and smooth user experience. Collaborate with data engineers, data scientists, and other stakeholders to integrate advanced analytics and predictive insights. Stay up-to-date with the latest Power BI features, best practices, and trends to continuously enhance BI solutions. Required Skills and Qualifications: 7+ years of experience in business intelligence and data analytics, with a strong focus on Power BI. Proficient in Power BI Desktop, Power BI Service, and Power BI Report Server. Expertise in data modeling, DAX (Data Analysis Expressions), and M language. Solid understanding of relational databases and SQL, with experience in database management (SQL Server, Oracle, etc.). Hands-on experience with ETL tools, such as Power Query, SQL Server Integration Services (SSIS), or Azure Data Factory. Familiarity with cloud platforms, particularly Azure services like Azure SQL Database, Azure Data Lake, and Azure Analysis Services. Strong analytical skills, with a keen eye for detail and a commitment to data quality. Experience in implementing row-level security (RLS) and maintaining compliance with data governance standards. Familiarity with scripting languages like Python or PowerShell for automation is a plus. Excellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders. Soft Skills: Takes ownership, is a proactive problem-solver with a positive, can-do attitude. Passionate about development. Excellent communication and teamwork skills. Ability to work effectively in a remote environment. Nice to Have: Knowledge of Agile methodologies and familiarity with tools like Azure DevOps or JIRA. Certifications in Power BI, Microsoft Azure, or data engineering are advantageous.

? Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLA’s defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Mandatory Skills: Project Management. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose Develop and publish MIS reports, perform data analysis and provide statistical reports and key trends to support for business decisions. Daily, Weekly, Monthly and Quarterly Report generation, PPTs, in-depth and accurate data analysis. ? Do 1. BAU reports Release all daily BAU reports after thorough review. Make sure that all daily reports are released on time and with highest data accuracy. Generate both periodic and ad hoc reports as needed. Understand customer problems and Provide appropriate technical solutions. Preparing Month end and Quarter end ppts for management reviews, attending regular meetings. Implementation of new technology and tools in the regular activities. 2. Analyze the data Interprets data and turns it into meaningful information which can offer ways to improve a business, thus affecting business decisions. Responsible to gather information from various sources and interpret patterns and trends. Creating dashboards and key trends using analytic tools like Power BI so that users can get the desired views. Notify the management of any sudden changes in data / trends. 3. Automation Responsible to automate all the manual reports to reduce the effort and save time. Regular meetings with the automation team to track the status and target to close all the automation before time. ? 4. UAT and enhancement in reports Perform UATs when there is any new changes in the dumps or reports are created. Give the UAT comments, document the test results and deviations. Make changes in existing reports during re-org, design new reports based on new requirement, 5. Cumulating QoQ and WoW details for PSC Parameters for further Comparison and Gap analysis 6. Support and discuss with eHub or Service Line WMG Teams for their queries and respond mailers ontime 7. Data issues along with Issue Tracker needs to be discussed and followed up with TraCE, Confluence, AMG and BI Teams 8. Self development Learn and implement new technology such as AI, Data Analytics, Statistical models in the BAU reports and Dashboard ? Deliver No Performance Parameter Measure 1 Fulfilment/ WFM Net Add targets as per plan Overdue demand as % of total demand Fulfilment parameters 2 Accuracy and Timeliness Data Accuracy Report release timeliness ?

About The Role : Role Purpose Data Analyst, Data Modeling, Data Pipeline, ETL Process, Tableau, SQL, Snowflake. Do Strong expertise in data modeling, data warehousing, and ETL processes. - Proficient in SQL and experience with data warehousing tools (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Talend, Informatica, SSIS). - Demonstrated ability to lead and manage complex projects involving cross-functional teams. - Excellent analytical, problem-solving, and organizational skills. - Strong communication and leadership abilities, with a track record of mentoring and developing team members. - Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. - Preference to candidates with experience in ETL using Python, Airflow or DBT 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

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of the role is to resolve, maintain and manage client’s software/ hardware/ network based on the service requests raised from the end-user as per the defined SLA’s ensuring client satisfaction ? Do Ensure timely response of all the tickets raised by the client end user Service requests solutioning by maintaining quality parameters Act as a custodian of client’s network/ server/ system/ storage/ platform/ infrastructure and other equipment’s to keep track of each of their proper functioning and upkeep Keep a check on the number of tickets raised (dial home/ email/ chat/ IMS), ensuring right solutioning as per the defined resolution timeframe Perform root cause analysis of the tickets raised and create an action plan to resolve the problem to ensure right client satisfaction Provide an acceptance and immediate resolution to the high priority tickets/ service Installing and configuring software/ hardware requirements based on service requests 100% adherence to timeliness as per the priority of each issue, to manage client expectations and ensure zero escalations Provide application/ user access as per client requirements and requests to ensure timely solutioning Track all the tickets from acceptance to resolution stage as per the resolution time defined by the customer Maintain timely backup of important data/ logs and management resources to ensure the solution is of acceptable quality to maintain client satisfaction Coordinate with on-site team for complex problem resolution and ensure timely client servicing Review the log which Chat BOTS gather and ensure all the service requests/ issues are resolved in a timely manner ? Deliver NoPerformance ParameterMeasure1. 100% adherence to SLA/ timelines Multiple cases of red time Zero customer escalation Client appreciation emails ? ? Mandatory Skills: Power BI Visualization on cloud. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role SKILLS '- Strong analytical skills with proficiency in data analysis tools. - Excellent communication and presentation skills to convey insights effectively. - Ability to manage multiple tasks and prioritize in a fast-paced environment. - Strong problem-solving skills and attention to detail. - Familiar with various reporting tool such as Google data studio, Google Sheet, Tableau ? Responsibility '- Analyze the end-to-end processes to identify inefficiencies and recommend enhancements. - Generate actionable insights and provide recommendations to improve team performance and meet SLAs. - Create detailed reports, dashboards, and presentations for management and stakeholders. - Work closely with internal teams and stakeholders to understand requirements and ensure alignment with business objectives. ? Experience BPO experience in data analytics in Tech industry Bachelor’s degree in Business Administration, Operations Management, Data Analytics, or a related field. Individual contributor ? ? Mandatory Skills: WFM (Ops). Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role : Job title:Lead Analyst- Investment Management- PHG Band:B3 -Lead Analyst Location:Gurugram / Bengaluru Experience Range:5 to 7 years 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. ncepts and the ability to critically implement them. Responsibilities: Deal Management:Collaborate closely with PHG Deal Analysts to assist in investment management and monitoring activities for the deals. IC Memos:Support the deal team in updating Investment Committee approval memos, ensuring a comprehensive understanding of each deal's intricacies. Term sheets:Analyze closing documents such as credit agreements, indentures and note purchase agreements and set up processes for analyzing and monitoring the deal post-closing. Due Diligence:Perform pre-deal due diligence to assess risk and investment potential. Surveillance and Reporting:Update surveillance data and create one-pagers for presentations to senior management for both Public and Private deals. Cashflow Modeling:Develop and update cashflow models for PHG deals. Monitor key metrics to assess risk and expected returns. Projection Models and Sensitivity Analysis:Create and update projection models and run sensitivity analysis to judge the performance of the deal. Sector-Level Analysis:Update monthly sector-level presentations and pro-actively highlight potential issues to senior management. Covenant Monitoring:Continuously monitor covenants and key performance indicators (KPIs) at the deal level, thereby assist the Business Analytics team to run portfolio-level analysis. Ad Hoc Projects:Undertake multiple ad hoc projects as requested by senior management to assess the impact of macro events. Client request/ Compliances:Ensure compliance with investor requirements from an investment management perspective. Data and Tools:Leverage 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.

About The Role Job titleSenior Analyst – Investment Management – Structured Finance BandB2 - Senior Analyst Experience RangeMinimum 4 year Shift Timings-2:00 PM - 11:30 PM IST 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

Role Purpose Role – Tech Data Analyst Location – Gurugram Shift timing – 12 pm to 09:30 pm Work Mode – WFO (4 Days in a week) Ideal candidate is an Experienced business data analyst and data modeler with SQL and ETL knowledge along with development background to provide definition on new Data Schemas, Data Ingestion for Data platforms, multidimensional cubes, and databases for large & complex financial datasets. RequirementsOverall Relevant strong experience with Data Transformation, Datawarehouse/Database creation & ETL on large data sets. Data Modelling experience (i.e. Relational, Dimensional, Columnar) complex SQL or NoSQL experience. Experience in advanced Data Warehouse concepts. Experience with Business Requirements definition and management, structured analysis, process design, use case documentation. Experience in professional software development capacity using SDLC, waterfall and Agile mode of development. Demonstrate exceptional organizational skills and ability to multi-task simultaneously with different parallel projects. Strong verbal & written communication skills to interface with business teams & lead towards successful business outcome. Must be self-managed, proactive and customer focused. Job description Business Analyst/ Data Analyst with 1 to 4 years’ experience Advanced excel – who can understand our current excel files. Knowledge of Python Strong hands-on SQL Familiarity in VBA/Macros DashboardingUnderstanding about Tableau Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Team Leaders Performance review HR Hiring and employee engagement and retention Training Team Capability development Technical Lead Training, issue escalation/ resolution External Client Query Resolution Display Lists the competencies required to perform this role effectively: Functional Competencies/ Skill Process Knowledge – Knowledge of assigned process, tools and systems – Foundation to Competent Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognized within the entire organization. Behavioral Competencies Collaborative working Problem solving and decision making Attention to Detail Execution Excellence Client (Internal) Centricity Effective Communication Deliver No. Performance Parameter Measure 1. Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback 2. Self- Management Productivity, efficiency, absenteeism, Training Hours, No of technical training completed

About The Role Job titleAnalyst – Investment Management – Structured Finance BandB1 - Analyst Experience RangeMinimum 1 year Shift Timings-2:00 PM - 11:30 PM IST 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

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Timings 07 PM to 4.30 AM IST. The role also demands support to various process related project initiatives, Monthly MIS Reporting, stakeholder management, risk management, handling escalations, and addressing queries of Data Governance team. Working closely with Trade support Team for smooth flow of Transactions. Fund Master Data Management: Maintain and manage the fund master database, ensuring data integrity and accuracy. Collaborate with investment teams to gather and validate fund-related data. Implement processes for the onboarding and offboarding of funds. Data Quality ManagementExpertise in Data Quality processes and Reference Data Maintenance for Term Loans, Bonds, Equities, Derivatives, and Structured Products. Analytical ExcellenceConduct detailed analyses to ensure timely, accurate delivery within a compliant, "no error" framework. Application ProficiencyExperience with Reuters Eikon, Markit, Bloomberg, and familiarity with BlackRock Aladdin preferred. Corporate Structure KnowledgeUnderstanding of corporate structures and relationship between legal entities and parent issuers, and proficient in researching government registry database. Ratings Agency InsightKnowledge of ratings agencies and their relevance to financial products, especially Term Loans. Client InteractionCollaborate with clients and onshore teams to gather requirements and identify process improvements. Operational SupportAssist Middle and Back Office operations, ensuring efficient and accurate task completion. Qualifications: Bachelor’s degree in Finance. Proven experience in data governance, data management, or fund administration. Strong understanding of data quality principles and data governance frameworks. Familiarity with regulatory requirements in the financial services industry. Excellent analytical, problem-solving, and communication skills. Proficiency in data management tools and software (e.g., SQL, data visualization tools,Excel). Ability to work collaboratively in a team-oriented environment. Preferred Skills: Experience with fund accounting or investment management systems. ? 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 Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Analyst- Investment Management- Structured Finance Band:B1 - Analyst Location:Gurugram / Bengaluru Experience Range:Minimum 1 year Shift Timings-:2:00 PM - 11:30 PM IST 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 Management:Collaborate closely with ABF Deal Analysts to assist in investment management and monitoring activities for structured finance deals. IC Memos:Support the deal team in updating Investment Committee approval memos, ensuring a comprehensive understanding of each deal's intricacies. Term sheets:Analyze closing documents such as credit agreements, indentures and note purchase agreements and set up processes for analyzing and monitoring the deal post-closing. Due Diligence:Perform pre-deal due diligence and stratify the collateral pool using Python to assess risk and investment potential. Surveillance and Reporting:Update surveillance data and create one-pagers for presentations to senior management for both Public and Private deals. Cashflow Modeling:Develop 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 Analysis:Create and update asset-level one-pagers for collateral analysis, assisting in underwriting and post-deal monitoring. Asset Valuation:Track and review revaluation events for underlying assets, ensuring accurate pricing of collateral. Sector-Level Analysis:Update monthly sector-level presentations and pro-actively highlight potential issues to senior management. Covenant Monitoring:Continuously monitor covenants and key performance indicators (KPIs) at the deal level, thereby assist the Business Analytics team to run portfolio-level analysis. Ad Hoc Projects:Undertake multiple ad hoc projects as requested by senior management to assess the impact of macro events. Client request/ Compliances:Ensure compliance with investor requirements from an investment management perspective. Data and Tools:Leverage 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. 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

I. Job Summary We are seeking a MIS- Power BI Developer (Individual Contributor) to join our growing organization in Gurgaon. In this position, the incumbent will be responsible for understanding, creating, and developing Power BI (PBI) reports from scratch and transform various reports to PBI version based on the request that the India team receives from US counterparts. II. Essential Duties and Responsibilities Excellent Knowledge & hands on experience of Advance Excel are mandatory. Sound knowledge of Power Bi, VBA and SQL, Snowflake & other DB structure. PowerApps experience and Knowledge of programming language a plus. Design, build and deploy BI solutions (e.g., reporting tools). Design, build and configure applications to meet business process and application requirements. Should be able to Transform existing Non-Power BI Reports into Power BI. Reports transition & timely SOP updation. Improvise on daily processing efficiency and accuracy and assisting in automation prospects within the span. Cultivates and maintains working relationships with team members. III. Qualifications & Experience Any graduate can apply. 1-5 years experience in Power BI, Advance Excel, VBA & SQL. Excellent Communication skills. Decision and Analytical making skills Open for feedback and learning opportunities US shifts. IV. Interview Details Dates of current week for Interview - 10th June, 11th & 12th June. (No Interviews on Friday this week, 13th June). Dates for next week for Interview - 16th June to 20th June. (No Interviews on Saturday & Sunday) Interview Time - 12.30pm to 3pm Contact Person - Shivangi Chauhan (7428923172 / schauha3@wm.com)

We are seeking a highly skilled Senior Data Analyst with8-10 years of experience to join our dynamic team. The ideal candidate will utilize their expertise in data analysis, visualization, and business intelligence to support data-driven decision-making across the organization. You will be responsible for transforming data into actionable insights that drive business strategies and improve operational efficiency. Key Responsibilities: Data Collection & Preparation: - Collect, clean, integrate, and manage data from multiple sources to build a comprehensive data landscape. - Ensure data accuracy, validation, and reliability through rigorous quality checks. Data Analysis: - Conduct exploratory and in-depth data analysis to identify trends, patterns, and anomalies. - Provide solutions to specific business challenges by using statistical techniques and advanced data analysis. Dashboard & Report Development: - Design, develop, and maintain interactive dashboards and reports using Power BI, making data accessible and actionable. - Customize reports based on business needs and ensure that visualizations are user-friendly and insightful. Business Insights & Recommendations: - Interpret data findings to generate actionable insights and recommendations that align with business objectives. - Communicate findings clearly to both technical and non-technical stakeholders. Collaboration & Stakeholder Management: - Collaborate with cross-functional teams, to meet data needs and drive business growth. - Serve as a data expert, guiding teams on best practices for data analysis and reporting. Data Documentation & Quality Assurance: - Document data sources, transformations, and reporting processes. - Implement data quality checks and address data integrity issues by collaborating with relevant teams. Mentoring & Leadership: - Mentor junior analysts and provide guidance on analytical tools, techniques, and best practices. - Leadcross-functional projects that require advanced analytical expertise. Requirements & Qualifications: Education : Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Experience: 8-10 year: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Proven experience with data visualization tools (Power BI, Tableau) and data querying languages(SQL, Python). Technical Skills: - Strong proficiency in Power BI, including DAX and Power Query for creating interactive dashboards. - Experience inbuilding reports in Business Objects (SAP BO) - Advanced knowledge of SQL for querying and managing large datasets. - Experience with Python for data manipulation and advanced analytics. - Knowledge of ETL processes and tools for data integration and transformation. - Experience in Tableau reporting is an advantage. - Familiarity with cloud platforms like Azure, and experience with data warehouses and data lakes. Soft Skills: - Excellent analytical and problem-solving skills with attention to detail. - Strong communication and presentation skills to convey complex data insights to diverse audiences. - Ability to work independently, manage multiple projects, and collaborate across teams. Preferred Qualifications: - Experience in the retail industry. - Familiarity with machine learning techniques for predictive analytics is a plus. I mpact & Contributions: - Decision-Making: Enhance decision-making processes by providing data-driven insights and guiding business strategies. - Data-Driven Culture: Contribute to fostering a data-driven culture by embedding insights into actions. - Stakeholder Collaboration: Effectively manage relationships with stakeholders across varying levels of data maturity, ensuring comprehensive understanding and application of insights. This role offers an opportunity to influence key business decisions through advanced data analysis, reporting and a collaborative approach. Join us in driving impactful changes and supporting the growth of our data-driven initiatives.

Job Summary We are seeking an experienced and results-driven Business Data Analyst with 5+ years of hands-on experience in data analytics , visualization , and business insight generation . This role is ideal for someone who thrives at the intersection of business and datatranslating complex data sets into compelling insights, dashboards, and strategies that support decision-making across the organization. You will collaborate closely with stakeholders across departments to identify business needs, design and build analytical solutions, and tell compelling data stories using advanced visualization tools. Key Responsibilities Data Analytics & Insights Analyze large and complex data sets to identify trends, anomalies, and opportunities that help drive business strategy and operational efficiency. Dashboard Development & Data Visualization Design, develop, and maintain interactive dashboards and visual reports using tools like Power BI , Tableau , or Looker to enable data-driven decisions. Business Stakeholder Engagement Collaborate with cross-functional teams to understand business goals, define metrics, and convert ambiguous requirements into concrete analytical deliverables. KPI Definition & Performance Monitoring Define, track, and report key performance indicators (KPIs), ensuring alignment with business objectives and consistent measurement across teams. Data Modeling & Reporting Automation Work with data engineering and BI teams to create scalable, reusable data models and automate recurring reports and analysis processes. Storytelling with Data Communicate findings through clear narratives supported by data visualizations and actionable recommendations to both technical and non-technical audiences. Data Quality & Governance Ensure accuracy, consistency, and integrity of data through validation, testing, and documentation practices. Required Qualifications Bachelor’s or Master’s degree in Business, Economics, Statistics, Computer Science, Information Systems, or a related field. 5+ years of professional experience in a data analyst or business analyst role with a focus on data visualization and analytics. Proficiency in data visualization tools : Power BI, Tableau, Looker (at least one). Strong experience in SQL and working with relational databases to extract, manipulate, and analyze data. Deep understanding of business processes, KPIs, and analytical methods. Excellent problem-solving skills with attention to detail and accuracy. Strong communication and stakeholder management skills with the ability to explain technical concepts in a clear and business-friendly manner. Experience working in Agile or fast-paced environments. Preferred Qualifications Experience working with cloud data platforms (e.g., Snowflake, BigQuery, Redshift). Exposure to Python or R for data manipulation and statistical analysis. Knowledge of data warehousing, dimensional modeling, or ELT/ETL processes. Domain experience in Healthcare is a plus.

The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients. Job Description: Required Skills Bachelor s degree (quantitative field preferred) 2 - 3 years of business analysis focusing on performance optimization 2 - 3 years of continuous work with digital analysis tools, such as Google Analytics or Adobe Analytics Excellent communication skills including verbal, written and data visualization Very strong skills in Excel and PowerPoint Preferred Skills 2 to 3 years working in a professional services organization, such as an advertising agency, media agency or management consultancy 1 - 2 years experience presenting analysis and insights to stakeholders/clients Ability to manage time effectively across competing priorities Use sound judgment to identify issues and escalate them when appropriate Takes constructive feedback well and not afraid to ask questions when help is needed Experience with data visualization tools such as Tableau, Domo, Data Studio or Power BI Contribute to improvements in processes used by analysts Giving constructive feedback/mentorship to less experienced colleagues Ability to collaborate effectively on a workstream What will make you stand out Demonstrated passion for the field of analytics; ability to pick up new skills proactively Understanding of major digital marketing channels, such as paid search and programmatic display Exposure to advanced web analytics methodologies such A/B testing, attribution, survey analysis Experience gathering and documenting business requirements for analytics initiatives Experience presenting analysis to clients or stakeholders Comfortable taking initiative while executing a project think of a question to pull this out - a client has an urgent or important tasks - which do you do? Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients. Job Description: Required Skills Bachelor s degree (quantitative field preferred) 2 - 3 years of business analysis focusing on performance optimization 2 - 3 years of continuous work with digital analysis tools, such as Google Analytics or Adobe Analytics Excellent communication skills including verbal, written and data visualization Very strong skills in Excel and PowerPoint Preferred Skills 2 to 3 years working in a professional services organization, such as an advertising agency, media agency or management consultancy 1 - 2 years experience presenting analysis and insights to stakeholders/clients Ability to manage time effectively across competing priorities Use sound judgment to identify issues and escalate them when appropriate Takes constructive feedback well and not afraid to ask questions when help is needed Experience with data visualization tools such as Tableau, Domo, Data Studio or Power BI Contribute to improvements in processes used by analysts Giving constructive feedback/mentorship to less experienced colleagues Ability to collaborate effectively on a workstream What will make you stand out Demonstrated passion for the field of analytics; ability to pick up new skills proactively Understanding of major digital marketing channels, such as paid search and programmatic display Exposure to advanced web analytics methodologies such A/B testing, attribution, survey analysis Experience gathering and documenting business requirements for analytics initiatives Experience presenting analysis to clients or stakeholders Comfortable taking initiative while executing a project think of a question to pull this out - a client has an urgent or important tasks - which do you do? Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Description Job Location: Pune. Full time 4 days a week from Strategy Pune office. Senior AI Engineer I We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently. Key Responsibilities: Develop, maintain, and optimize AI-driven applications using Python. Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability. Design and build RESTful APIs with FastAPI for seamless integration of AI services. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Interface with relational and vector databases for efficient AI data retrieval and storage. Implement text embedding techniques to improve AI-powered natural language processing tasks. Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP. Utilize Docker for containerization, ensuring scalable and efficient deployment. Collaborate with cross-functional teams using Git for version control and code management. Qualifications Bachelor s/Master s degree in Computer Science or equivalent. A minimum of 4 years of hands-on experience in Python software development with a focus on mo

Tax Industry/Sector Management Level Associate & Summary . In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decisionmaking for clients. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary We are seeking a skilled and detailoriented Power BI Developer to join our team. The ideal candidate will have a strong background in data analysis and visualization, with a deep understanding of the Microsoft Power BI platform. You will be responsible for designing, developing, and maintaining business intelligence solutions that turn data into knowledge. Develop, publish, and schedule Power BI reports and dashboards to meet business requirements. Collaborate with business users to gather requirements and translate them into technical specifications. Create data models and perform DAX queries to support complex business logic. Optimize data pipelines and Power BI datasets for performance. Ensure data accuracy and consistency across reporting tools. Troubleshoot and resolve issues related to reports and data sources. Integrate Power BI reports with other Microsoft services (e.g., Power Apps, SharePoint, Teams). Stay uptodate with the latest Power BI updates and features. 26 years of handson experience with Power BI . Proficiency in DAX, Power Query (M), and data modeling. Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). Familiarity with data warehouse concepts and ETL processes. Excellent analytical and problemsolving skills. Good communication and collaboration abilities. Experience with AWS Redshift Data warehouse (preferred) Mandatory skill sets Power BI Developer Preferred skill sets Power BI Developer Years of experience required BTech/MCA Education qualification B.Tech /MCA Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills Java Accepting Feedback, Active Listening, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being No

Job Title: Principal Software Engineer Job Code: 10011 Country: IN City: Mumbai Skill Category: IT\Technology Description: Role Description You are a confident and selfmotivating developer with a solid understanding of python. You are client focused and are comfortable communicating with stakeholders across the bank. You are at home developing in a small selforganising team and value user feedback within an agile development process. You can manage expectations effectively and have a demonstrable track record of owning delivery of a high profile product to demanding business users. You are familiar with the Fixed Income markets, both cash and derivatives, and understand the value of an intuitive, robust and reliable research platform for ETrading. Summary: We are seeking an innovative and experienced Python Developer to join our dynamic team. The ideal candidate will be responsible for building out a best in class Python research platform to support the development, and optimization of electronic trading strategies across various asset classes and markets. Key Responsibilities: Design and develop a sophisticated research platform to support the build of algorithmic trading strategies using quantitative methods and statistical analysis Build tools to analyse market microstructure and develop models to predict shortterm price movements Collaborate with quants, developers, and traders to translate trading ideas into productionready code Build tools to monitor and evaluate the performance of trading strategies, making realtime adjustments as necessary Design and develop platform to conduct research on new trading opportunities and market inefficiencies Contribute to the firms overall electronic trading infrastructure and technology stack Required Experience: Degree in Computer Science, Mathematics, Physics, or a related quantitative field Minimum of 5 years of experience in Python development Understanding of market microstructure, order types, and exchange connectivity Excellent problemsolving skills and ability to work under pressure in a fastpaced environment Strong proficiency in Python and its core libraries (NumPy, Pandas, SciPy) Experience with financial data analysis libraries (yfinance, pandasdatareader, talib) Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly) Understanding of SQL and database management Experience with API integration (REST APIs, WebSocket) Version control proficiency (Git) Preferred Experience: Experience with multiple asset classes (Rates, equities, futures, options, FX) Knowledge of marketmaking strategies and risk management techniques Knowledge of machine learning libraries (scikitlearn, TensorFlow, PyTorch) for predictive modeling Knowledge of algorithmic trading concepts and frameworks (Backtrader, Zipline) KDB or other time series database Key Competencies: Strong analytical and quantitative skills Creativity in developing novel trading strategies Excellent communication skills to explain complex concepts to both technical and nontechnical audiences Ability to work collaboratively in a team environment Adaptability to rapidly changing market conditions and technologies Strong ethical standards and commitment to market integrity We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age. *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc. ) would be a necessary requirement. Exposure to Cloud technologies (e. g. , Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive / predictive / prescriptive) , Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc. ) would be a necessary requirement. Exposure to Cloud technologies (e. g. , Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent