Top Data & Analytics Jobs

Lead data onboarding, validation, and vendor management for the Marketing Data Platform. Define requirements, run UAT, develop Databricks/SQL analyses, build and deploy AI-enabled no-code/low-code solutions, ensure data quality and regulatory compliance for consumer outreach programs.

Design and maintain data quality frameworks, automate checks, validate data pipelines, and collaborate on Power BI metrics with a focus on AI-driven improvements.

Designs, develops, tests and maintains database queries, ETL pipelines (SSIS) and reports (SSRS). Performs data transformation, tuning and monitoring, builds Power BI visualizations, integrates cloud AI services, and communicates insights to stakeholders to improve data-driven decisions.

Lead design and governance of a unified healthcare data platform for risk adjustment and quality. Architect data models, ingestion patterns (X12, HL7, FHIR), pipelines, identity resolution, and controls to support HEDIS/Stars/NCQA, RADV/audit readiness, and analytics. Partner with business, engineering, and security teams and mentor senior engineers.

Design, build, and maintain scalable data pipelines and integrations using Python and Azure (ADF, Databricks, Azure SQL). Implement CI/CD for deployments, optimize performance and cost, develop data models for analytics, collaborate with data scientists and stakeholders, document solutions, and troubleshoot data issues.

Develop, improve, and maintain a controllership web application using .NET (ASP.NET Core/MVC/Blazor), React, and SQL. Write clean scalable code, debug and tune queries, automate processes, integrate GitHub with Azure DevOps, mentor peers, and support critical production systems while ensuring performance, data modeling, and delivery of business requirements.

Design, develop, test, and maintain scalable big data solutions. Lead and mentor engineers, build integrations and APIs, evaluate new tools, participate in design/code reviews, estimate development effort, provide documentation and production support, and work within Agile teams to improve the enterprise big data platform.

Design and maintain dashboards and reports to measure lead funnel performance and MQL quality. Analyze CRM, campaign, and automation data; define and validate metrics and MQL criteria; evaluate conversions and process gaps; translate insights into recommendations and partner with stakeholders to deliver BI solutions.

The Senior Value-Based Healthcare Data Analyst leads analytical efforts to support healthcare quality and compliance, coordinates across teams, and ensures data accuracy.

The Data Analyst will act as a subject matter expert in data engineering, healthcare risk adjustment, and application analysis, focusing on reliable data solutions and troubleshooting workflows.