Top Remote Data & Analytics Jobs in Pittsburgh, PA

Lead product measurement and analytics as a Staff-level IC: define KPI frameworks, generate proactive insights, shape product strategy, improve data foundations, and build AI-enabled analytics workflows while mentoring analysts and influencing senior product leaders.

Build and maintain production-grade data pipelines and ELT processes using Python, SQL, Airflow, and dbt within AWS. Design optimized schemas in PostgreSQL and Redshift, leverage AI/LLMs to improve development, automation, testing, and data quality, and scale infrastructure for large healthcare datasets.

Lead customer engagements to architect, implement, and optimize large-scale Spark and Databricks workloads. Troubleshoot and tune distributed PySpark and DBSQL jobs, design PoCs/workshops, advocate technical solutions, mentor junior engineers, and collaborate cross-functionally to improve platform features and cost-efficiency.

Own and evolve Moxie’s semantic layer (dbt + Omni), build benchmarking and segmentation datasets, enable embedded AI-driven analytics, lead revenue reconciliation and data governance, partner with BizOps to deliver actionable metrics, and lay groundwork for predictive and prescriptive analytics.

Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.

Design and improve learning data reporting and dashboards in Cornerstone, integrate Cornerstone and Workday data, conduct user research and usability testing, create wireframes and prototypes, design accessible reporting interfaces, and collaborate with L&D, HR, product, and technical teams to optimize reporting and UX.

Review TEFCA participant and subparticipant directory entries against authoritative sources, apply a documented review methodology, classify dispositions, document findings and evidence in Jira, escalate exceptions, participate in QA sampling, and maintain throughput and audit-ready case notes for federal health IT compliance.

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

The Director Analyst focuses on smart manufacturing technologies, advising clients on market landscapes and delivering research on digital transformation and manufacturing technologies to drive key business outcomes.