Top Data & Analytics Jobs in Pittsburgh, PA

The Data Analyst will perform advanced data modeling and analysis, manage data collection systems, and communicate findings to stakeholders, driving data-informed business decisions.

Own lightweight data governance and operational reporting: define/document business terms, maintain a data catalog, build SQL-based operational datasets and reports, monitor data quality, diagnose anomalies, and align stakeholders across BizTech, Analytics, and business teams.

The Statistical Modeling Manager leads the development of credit risk models, ensuring data integrity and alignment with business objectives, while enhancing model performance and conducting analytics for informed decision-making.

Build and maintain cloud data pipelines and ML feature/model workflows in Snowflake and AWS. Implement data ingestion, transformations, quality checks, monitoring, and documentation. Collaborate with data scientists, analysts, and product teams to support analytics, audience insights, rapid prototyping, and reliable production deployments.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Design, develop, and optimize Tableau dashboards and data sources on Redshift; collaborate with data engineering (dbt) and business teams; own Tableau governance, performance tuning, documentation, training, and ensure data security compliance.

The Junior Manual QA Engineer will execute test cases, perform exploratory testing, document bugs, and collaborate with teams to ensure high-quality software. This role involves learning QA methodologies and improving testing processes alongside experienced professionals.

Lead the Data Engineering team at Docker, focusing on strategic data analytics and platform evolution to enhance product innovation and customer insights.

The Senior Insurance Product Analyst will develop pricing models, analyze product profitability, and collaborate with teams on market strategies, utilizing AI tools for data-driven decisions.

The Business Analyst will gather, analyze, and document requirements for health IT solutions, support UAT, and collaborate with stakeholders to improve processes.