Top Remote Analysis Reporting Jobs in Pittsburgh, PA

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

Embed with the CRO to deliver GTM analytics and insights: write SQL and dbt models, build Looker and Salesforce dashboards, define and track revenue KPIs, forecast and model revenue, partner with GTM leaders and Data Engineering, lead analytics projects, and translate complex data into executive-ready recommendations to drive upsell and new-business growth.

Perform quantitative analysis and model development support within an economic capital team. Clean and explore large datasets, run basic diagnostics, build visualizations, and assist in validating predictive and ML models using Python/R/SAS and spreadsheet tools. Help integrate AI-generated code and agentic tools under manager supervision.

Support settlement programs by answering client data questions, validating claimant data and calculations using SQL/Python, performing quality checks, documenting solutions, and collaborating with litigation, engineering, and product teams.

Perform BI and data analysis to build semantic and medallion models, validate warehouse data integrity, document data definitions and business rules, and develop/audit dashboards (Tableau/Streamlit). Partner with engineers and business stakeholders, support data governance, and participate in Agile processes while researching new analytics tools and best practices.

Lead SAP master data processes for customer, vendor, and material domains. Ensure data integrity, governance, and compliance; define and enforce standards and KPIs; partner with cross-functional teams to resolve data issues and drive continuous improvement across global business processes.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Lead governance, standardization, and quality of enterprise location master data. Analyze data flows, perform root cause analysis, define KPIs, drive data quality initiatives, document processes, and support stakeholder training to improve reporting and operational decision-making.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.