Top Remote Data & Analytics Jobs in Pittsburgh, PA

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.

As an Operations Analyst, you'll develop scalable reporting, model supply and demand, and engage with stakeholders to inform business strategies across markets.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

The role involves collecting, analyzing, and visualizing data for investment research, utilizing web scraping, data tools, and data science techniques.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

Design and execute HEOR studies (cost-effectiveness, budget impact, real-world evidence) using large claims datasets; collaborate cross-functionally; engage stakeholders; produce scientific deliverables (abstracts, posters, manuscripts); and communicate HEOR insights to support adoption, access, and reimbursement for genetic testing services.

The Data Analytics Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The role involves leading e-commerce strategies, conducting analysis and A/B testing, collaborating across teams to optimize performance, and translating insights into actionable plans for clients.

Partner with a product team to design and implement product analytics: build dashboards, instrument and QA event tracking, run funnel/cohort/retention analyses, support A/B testing, and enable self-service reporting to inform product strategy and improve user experience.