Top Data & Analytics Jobs

Lead design and operations for a Data Control Tower to define, implement, validate, and monitor data controls. Partner with engineering, analytics, product, and business stakeholders to build control catalogs, translate technical findings to business impact, manage incidents and trust states, and support governance, dashboards, and continuous improvement across healthcare data domains.

Explore and validate complex enterprise datasets, conduct exploratory analyses and experiments, build reusable Databricks SQL and Python notebooks, identify data quality issues, and translate ambiguous business questions into evidence-based product recommendations. The role partners with stakeholders, documents analytical findings, creates semantic-layer assets, and supports transition of validated concepts to downstream engineering teams.

The Payor Contracting Analytics Director leads financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and identifying growth opportunities.

The Sr Manager of Payor Performance Analytics drives financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and ensuring successful contract negotiations and implementation.

Lead enterprise data strategy, governance, platforms, and operating model to enable reliable, secure, and AI-ready data. Establish standards, stewardship, and shared capabilities across a federated organization, drive adoption and measurable business impact, partner with executives and compliance, and build a multidisciplinary data organization.

Analyze and re-price pharmacy claims using SQL and relational databases to support pricing, RFPs, and analytic models. Validate source data, perform QA and trend analysis, conduct financial and network pricing modeling, and communicate findings with finance, accounting, and sales while maintaining compliance and detailed records.

Design, build, test, and maintain scalable cloud data pipelines, data warehouses/lakes (Databricks/Snowflake). Ingest/transform data from APIs, streaming, files, and databases using Python/Spark. Implement CI/CD, support operations and incident management, mentor team members, and ensure data architecture, modeling, quality, and vendor collaboration.

Design, develop, and optimize scalable data pipelines on Databricks using PySpark and Azure. Create technical design docs, support testing (QA/UAT), troubleshoot jobs, integrate AI/ML agent solutions, and participate in design and release reviews while meeting delivery timelines.

Design, estimate, and implement data ingestion pipelines into data lakes/warehouses using Spark/PySpark and Databricks; optimize cost and CI/CD automation; support streaming (Kafka), Delta tables, data quality, and cloud resource utilization (AWS/Azure). Participate in planning, stand-ups, and cross-team delivery.

Develop and enhance algorithms and automated processes in Azure, apply AI/LLM use cases, collaborate with business teams, improve deliverables, introduce new technologies, and follow CI/CD and Agile practices.