Senior Data Analyst

Artemetrx is PSG’s robust claims data and analytics platform that drives measurable financial results for clients through advanced healthcare data, reporting, and analytics. The Senior Data Analyst will support the continued evolution of Artemetrx by helping develop, implement, and scale analytical capabilities that improve client decision-making, identify opportunities for cost and utilization management, and support the next generation of AI-enabled drug management tools.

The role is designed for a highly analytical, curious, and technically capable individual who can work with a variety of healthcare data sets, including medical and pharmacy claims data, to uncover insights, build predictive models, and support data-driven solutions. The Data Analyst will partner with clinicians, analysts, consultants, product leaders, and technical teams to translate business questions into analytical approaches, prepare and analyze complex data, and communicate findings clearly to technical and non-technical stakeholders.

What You’ll Do:

• Support the development and maintenance of predictive, statistical, and machine learning models that address business and client needs across Artemetrx initiatives.
• Analyze pharmacy and medical claims data as well as other healthcare data sets to identify trends, patterns, outliers, and opportunities that inform client strategy and improve health outcomes.
• Assist with AI roadmap initiatives.
• Prepare, clean, transform, and validate data sets to ensure accuracy, completeness, and usability for advanced analytics, reporting, dashboards, and model development.
• Develop clean, reusable, and testable analytical code using established data team standards, libraries, and modules.
• Support Artemetrx through maintenance of reference tables and other data sets used within the product.
• Use programming languages such as SQL and Python to extract, manipulate, and analyze large and complex data sets.
• Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to understand business problems, define requirements, and deliver actionable insights.
• Document analytical methods, assumptions, data definitions, model logic, and results to support transparency, repeatability, and quality control.
• Communicate analytical findings and recommendations through written summaries, presentations, dashboards, and stakeholder discussions.
• Stay current with developments in healthcare analytics, data science, machine learning, artificial intelligence, and the pharmacy benefits management industry.

What We’re Looking For:

• At least 2+ years of healthcare and/or pharmaceutical claims analytics experience
• Strong experience using SQL to write queries
• Python or R experience, in particular experience building data analysis, machine learning, or forecasting models
• Positive and outgoing disposition, eager to work as a team but also functions well working independently.