Top Remote Data & Analytics Jobs in Pittsburgh, PA

The Senior Analyst manages data analytics, reporting, and process improvement, focusing on business performance and market opportunities using SQL and Power BI.

The Business Insurance Analytics Manager will lead a team to analyze claims data, support client negotiations, and develop analytics strategies for client retention and growth.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

The Sr. Product Analyst will identify growth opportunities through user data analysis, manage A/B testing, enforce statistical rigor, and create dashboards to support the Growth team.

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.

The Director of Business Intelligence at Viral Nation will lead analytics strategy for a CPG organization, driving insights and growth opportunities across sales, marketing, and digital engagement. Responsibilities include building a high-performing team, developing predictive models, and optimizing measurement strategies to inform executive decisions.

The Analytics Lead will guide data-driven decision-making, develop measurement frameworks, forecast revenue, and mentor an analytics team, ensuring effective communication of insights.

The Summer Associate will support data analytics projects related to media measurement and audience building using Circana tools, while gaining industry knowledge and training.

The Agentic AI Lead will design AI-first processes, lead innovation projects, drive cultural change, and partner with leaders to transform operations at Tilt.

As a Data Analyst at Wellthy, you will analyze data, create reports, and integrate AI tools to improve efficiency in data workflows and decision-making.

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.