Top Analytics Jobs in Pittsburgh, PA

The Sr. Operations Analytics Manager will enhance billing and account efficiency, analyze complex data, and provide actionable insights to improve financial performance and customer service.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

The SVP of Analytics Solutions will lead a global team to define, build, and commercialize analytics capabilities, drive client impact, and support business growth through innovative data solutions.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead a unified analytics organization for Marketing and Product, define shared metrics and measurement frameworks, deliver executive-ready insights, build forecasting and experimentation programs, partner with engineering and privacy teams, and hire and mentor multi-layer analytics teams to drive product adoption and business outcomes.

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Analytics Data Associate will maintain and support analytics systems, upload data, generate reports, assist with client inquiries, and manage risk dashboards.

The role involves analyzing employee data, leveraging AI for insights, developing reporting frameworks, and enhancing workforce strategies through advanced statistical methods and collaboration with cross-functional teams.

Analyze data for Financial Crimes Compliance by extracting, interpreting data, perform ongoing analysis using SQL and Python, and communicate findings to management and regulatory examiners.

The HR Technology BI Developer designs and develops HR analytics platforms to enhance decision-making and improve workforce planning through robust data solutions.

The HR Technology BI Developer designs and enhances the HR analytics platform, develops scalable solutions, and collaborates with global teams to improve workforce analytics and compliance.

The role involves collaborating with senior leadership to enhance research data workflows, develop data solutions, and improve data processes across CMU's research environment.

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

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 Business Insights & Analytics Advisor will analyze data, develop insights, and report on key performance indicators to enhance operational excellence. Responsibilities include stakeholder engagement, managing reporting projects, and ensuring data integrity across multiple systems.

The Pricing Analyst will enhance commercial analytics and pricing capabilities by developing tools to derive insights and collaborating with teams on pricing strategies and data management.

The Executive Director leads Global Clinical Pharmacology & Development Technology Solutions, overseeing technology strategy, solution delivery, and team leadership to support R&D initiatives in cancer treatment.

Architect, build, and maintain scalable ELT data pipelines and analytics-ready data marts. Lead dbt modeling, ensure data quality, CI/CD, and documentation. Partner with stakeholders, mentor junior engineers, evaluate tooling (reverse ETL), and drive long-term data platform strategy.

Lead development of provider data products and ML-based decision support, manage provider data quality, collaborate across teams to build provider-facing analytics, and establish MLOps standards and governance.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.