Top Data & Analytics Jobs

Design, develop, and maintain data pipelines and ETL processes, ensuring data quality and collaborating with teams for tailored solutions.

Lead development and maintenance of analytics, data solutions, and dashboards for pharmacy financial and operational performance. Perform business analysis, translate requirements into technical specifications, build data models and visualizations, influence stakeholders, and support analytics project delivery and process improvements.

The Model Risk Analyst Sr. will govern model validations and ensure compliance with risk management processes, focusing on model lifecycle and risk assessment.

The Senior Data Analyst manages data workflows, resolves data quality issues, and optimizes ETL processes for Arkansas Medicaid's data warehouse while leading a team of data engineers.

The Senior Business Systems Analyst - Data Steward is responsible for business analysis, enforcing data governance policies, ensuring data quality, and collaborating with data stewards to enhance governance practices across the enterprise.

The role involves SQL scripting, data integration using HL7, troubleshooting production issues, and providing support for complex queries and systems.

The Consultant provides strategic analytics support for health plan performance, creating insights and content for client engagements while collaborating with internal teams.

As a Data Scientist 1, you will analyze pricing data, maintain pricing models, prepare reports, and improve workflows while collaborating with senior analysts to enhance network pricing strategies.

The Senior Data Analyst will work on data engineering, building ETL pipelines, and cloud-based applications, complying with company policies and collaborating with leadership across functions.

Design, develop, and deploy scalable ML/NLP and multimodal document-understanding solutions for clinical data. Own end-to-end ML lifecycle, build infrastructure for high-volume inference, implement information extraction and retrieval, and collaborate with domain experts to ensure clinical accuracy and production readiness.