Top Remote Data & Analytics Jobs in Pittsburgh, PA

The BI Analyst will design and maintain analytics solutions, provide actionable insights, develop dashboards, and collaborate with data engineering to improve business decisions.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

The Data Analyst will conduct high-quality analyses using marketing and media data to measure TV campaign performance and provide actionable insights to clients. Responsibilities include validating data, translating findings, and creating visualizations to support decision-making in marketing effectiveness.

Lead Data Sciences and Analytics team in delivering insights for drug development. Manage clinical data, develop models, and ensure compliance. Collaborate with stakeholders to facilitate data integration and visualization.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

The Data Analyst will analyze healthcare data, develop reports and visualizations, and support analytics operations for pricing decisions.

The Specialist helps clients develop data-driven customer experience strategies through analysis, insight generation, client engagement, and training presentations, in a fast-paced environment.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

Own the validation lifecycle: translate data quality requirements into clear deterministic rule specifications, maintain the validation catalogue, monitor and tune controls, perform first-pass anomaly detection and RCA support, and collaborate with Product, Technology, and Data Owners to ensure scalable, testable, and maintainable data quality controls.