• Leverage prior Annuity and Life Insurance experience to drive Data Governance requirements • Work with business subject matter experts to analyze, validate and utilize data for consumption by stakeholders. • Assist Data Governance team in researching and understanding customer processes, underlying integrations, and business data needs in partnership with Data Engineers, Integration Engineers, and Architects. • Collaborate with other departments, domains business and technology stakeholders, data stewards and data owners to coordinate comprehensive needs and function as a team to achieve unified objective. • Adhere to SDLC process and source code management standards, prepare project implementation plan which includes metrics, scope, acceptance, deployment process, and deliverables. • Analyze various systems data and mapping definitions, identify the patterns, translate business definitions to necessary data quality checks within the ETL process and maintain Data Governance Artifacts. • Extensively use advanced SQL skills to perform detailed data analysis, understand data patterns, behaviors and verify mapping definitions and generate data extracts based on business need. • Support Data Products by involving in discussions with the Data architects, defining the conceptual model and implementing the physical data model based on the needs of strategic project. • Leverage prior Data Governance process and tool experience and utilize Informatica Data Governance tools such as Cloud Data Profiling, Cloud Data Quality, Cloud Data Governance Catalog, Reference 360 and Marketplace for maintaining Data Governance assets and monitoring the Data Governance activities. • Coordinate with Solution Delivery and Analytics teams to create the data lineage for various systems and Tableau Dashboards using Informatica Data Catalog tool. • Collaborate with Data Architects and Data Governance Development team to design the data marts for maintaining reference data, data quality and data classification result. • Support Business and IT Solution Delivery teams with respect to Data Governance processes, Integration and Data Services standards, and Informatica Cloud tools.

• Acts as a subject-matter expert of Engineering data (products, BOMs, materials, Documents, suppliers, etc.) • Gathers data from various sources, cleanse data for integrity and accuracy • Applies various data analysis tools to provide meaningful information and insights to help businesses make informed decisions • Providing technical expertise in database/data system development and data infrastructure setup • Collecting/consolidating data from various sources and organizing them into usable formats • Using statistical tools to derive meaningful information/insights from raw business data and analyzing data to find answers to specific questions • Assessing quality and meanings of data and cleansing corrupted data for integrity and accuracy • Creating data visualizations and reports for other stakeholders to comprehend business facts and trends to make better decisions • Working with relevant stakeholders to identify process improvement opportunities, propose system modifications, and devise data governance strategies • Creating appropriate documentation that allows others to understand data analysis processes and steps to foster wide adoption of data processing techniques • Liaising with various departments and internal stakeholders to create collaborative work relationships – understand their data requirements, propose the solutions, advocate the team values, obtain their supports when required.

• Track, analyze, and report on various marketing performance metrics, including Customer Acquisition Cost (CAC), New Arrivals, Subscriptions, Cancels, and Churns. • Develop and maintain the Lifetime Value (LTV) to CAC ratio models to ensure sustainable growth. • Monitor full-funnel conversion rates, identifying leakage points from awareness to conversion. • Identify trends and provide actionable insights to marketing and leadership teams to improve campaign efficiency and effectiveness. • Design and analyze A/B tests (split testing) for landing pages, ad creatives, and email subject lines to scientifically prove what works. • Perform cohort analysis to understand retention behaviors and predict future revenue. • Collaborate with the Data and Analytics team to ensure data integrity, maintain reporting dashboards, and support data-driven decision-making across the marketing function. • Manage the marketing attribution model to correctly assign value to different marketing channels (Paid Search, Social, Organic, Email).

• Own data collection strategies from start to finish - identifying what data we need, gathering information from various sources, and establishing data quality protocols. • Conduct thorough research to inform product decisions, pricing strategies, and market positioning. • Use SQL and Python to analyze data, discover patterns, and provide actionable insights that will guide business and product decisions. • Create comprehensive research reports and presentations to communicate findings to the team. • Work closely with developers to translate analytical findings into technical specifications for algorithm implementation. • Collaborate with the product team to ensure data collection and analysis align with business requirements.