• Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions. • Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy. • Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality and alert stakeholders in real time. • Drive insights on customer acquisition, retention, and user experience within a subscription-based model. • Partner with Engineering, Marketing, and Product to align business needs with data initiatives and drive execution. • Translate complex data into compelling narratives with actionable recommendations for stakeholders at all levels.

• Partner with product managers to define product KPIs, success metrics, and analytical requirements across customer and digital products • Support the modernization of clients’ marketing data lake as the enterprise data foundation for customer and marketing insights • Design and maintain entity-based data models for the marketing data lake • Apply medallion architecture principles (bronze, silver, gold) to marketing data lake design • Support analytics, personalization, customer acquisition, and lifecycle-marketing strategies • Ensure alignment between enterprise data lake entities and Adobe RTCDP profile and event schemas • Collaborate with engineering and data platform teams to define data ingestion, data remapping, transformation, and modeling requirements

• Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. • Design, build, and optimize data models to support analytical needs and reporting requirements. • Collaborate with data scientists to implement and deploy machine learning models and analytical solutions. • Monitor data quality and identify and resolve data integrity issues. • Contribute to the development of data documentation and metadata management practices. • Work with stakeholders to understand their data needs and translate them into technical requirements. • Assist in the evaluation and implementation of new data technologies and tools. • Participate in code reviews and contribute to the development of coding standards and best practices. • Independently manage assigned tasks and projects, ensuring timely delivery and quality results. • Proactively identify opportunities to improve data processes and systems.

• Analyze healthcare payer data including claims, eligibility, provider, utilization, and financial datasets • Develop and maintain reports, dashboards, and analytics to support business stakeholders (e.g., medical management, finance, network, and operations) • Identify trends, anomalies, and cost drivers in healthcare utilization and expenses • Support value-based care initiatives, including quality metrics (e.g., HEDIS, STAR ratings) and risk adjustment analysis • Perform ad hoc data analysis to answer business questions and guide strategic decisions • Collaborate with business units to define requirements and translate them into data solutions • Ensure data accuracy, integrity, and consistency across systems • Assist with regulatory and compliance reporting (CMS, state, and internal requirements) • Partner with IT and data engineering teams on data extraction, transformation, and validation • Document methodologies, business definitions, and reporting processes