Top Data & Analytics Jobs

Design, build, and maintain enterprise ETL and data transformation pipelines to support Medicaid analytics and federal reporting. Optimize data processing with Python, Spark/Databricks, and relational platforms; ensure data validation, reconciliation, auditability, and production support. Collaborate across architects, analysts, QA, and BI teams during cloud migration and modernization efforts.

Lead complex analytical projects to improve member experience by analyzing operational and multi-channel feedback, monitoring dashboards and KPIs, delivering insights and recommendations, presenting to leadership, tracking impact, and mentoring peers.

Lead and mentor data engineering teams to design, build, and optimize scalable batch and real-time data pipelines and platforms. Architect Snowflake- and Azure-based solutions, enforce data governance and compliance (HIPAA/GDPR), implement DevOps/CI/CD and IaC, manage production reliability, and translate business needs into technical designs to drive platform modernization and data accessibility.

The Lead Data Analyst drives insights and analytical outcomes in healthcare using Azure Databricks, mentoring analysts, and managing data pipelines.

Design, build, and maintain scalable data pipelines and data warehouse solutions on Azure. Perform source data analysis, profiling, ETL development with PySpark, support migrations from on-prem to cloud, troubleshoot production issues, collaborate in Agile teams, and contribute to ML/Generative AI initiatives and Power Apps development.

Lead design, development, and maintenance of complex Alteryx/Snowflake workflows and campaign data solutions for Medicaid programs. Serve as technical lead translating business needs into architecture, build SQL queries, manage reporting/BI, ensure data quality and automation, liaise with IT, support production environments, and mentor staff on best practices.

Support and maintain enterprise BI reporting (Tableau/Power BI/SSRS), Alteryx workflows, and SQL/Snowflake pipelines. Triage production incidents, perform root cause analysis, optimize performance, automate support tasks, and deliver analytics for executive, operational, product, and KPI dashboards while improving system stability and documentation.

Perform advanced analysis on backend datasets to drive product insights, troubleshoot system issues, develop requirements, monitor vendor performance, and deliver executive-ready reporting and dashboards to influence product decisions.

Analyze and monitor payer performance using data-driven methods, build financial models and reporting, evaluate financial impacts of payer actions, support executive updates and AEP reporting, partner with cross-functional teams to inform strategic payer and value-based care recommendations.

Design and architect scalable, secure data solutions on cloud (Azure/AWS); execute POCs; troubleshoot heterogeneous environments; migrate pipelines (BDPass to Azure); apply data warehousing, modeling, and development best practices while collaborating with cross-functional teams.