Top Data & Analytics Jobs

Design, build, and maintain end-to-end data pipelines and integrations using Azure Data Factory, DBT, and Snowflake. Optimize SQL and Snowflake performance, support batch ingestion and API-based integrations, mentor engineers, produce technical documentation and runbooks, and ensure data quality, monitoring, and secure compliant data transfers.

Design, build, and operate Azure + Databricks lakehouse architectures. Implement batch and streaming ingestion, CDC, data modeling for BI, automated quality checks, CI/CD, observability, security controls, cost optimization, and Power BI semantic layers with enterprise governance and certified datasets.

Perform data-driven analysis, validation, and end-to-end UAT across Risk & Quality systems. Design and execute SQL-based backend validations, reconcile upstream/downstream data, create production-like test datasets, and perform root cause analysis for data defects. Develop and maintain UI, database, and API test automation using Java, Selenium, TestNG, and Cucumber, and collaborate in Agile teams to ensure business-aligned releases.

Lead a 30-person analytics organization to define strategy, identify savings and growth opportunities, drive automation and BI adoption, partner with data science, and deliver measurable Payment Integrity outcomes through governance, scorecards, and executive reporting.

Design, build, and maintain scalable big-data analytic solutions for clinical teams. Translate business requirements into technical specifications, apply predictive analytics and ML, create visualizations and dashboards, migrate legacy data, and recommend process improvements to support healthcare outcomes and operational efficiency.

The Associate Director leads the Business Analysis and Reporting team, managing key operational reports and performance measures while fostering relationships with stakeholders.

Senior leader responsible for designing, delivering, and improving BI, reporting, analytics, and data management. Partners with stakeholders to prioritize initiatives, ensure data quality, define metrics, drive automation and AI-first improvements, and lead a team of analytics specialists to support operational and strategic decision-making.

Build and optimize scalable data pipelines on Azure Databricks using Python, SQL, and Spark. Collaborate with analysts, developers, and QA to design and execute test plans, automate testing, and integrate LLM/GenAI tools for test planning and scripting while following SDLC practices.

The Manager of Data Analytics leads a team of analysts, managing analytics delivery, providing guidance, and enhancing processes for improved operational insights.

Analyze and resolve user tickets, profile source systems, design ETL mappings, develop and support ETL pipelines in Azure (ADF/Databricks), perform SQL performance tuning, create test cases and technical documentation, lead and mentor the team, and apply AI/ML techniques to accelerate the SDLC.