Top Analytics Jobs in Pittsburgh, PA

As a Senior Analytics Engineer, you'll design metrics, generate insights, and drive analytics initiatives to support Netflix's ads business.

Seeking a Strategic Data Analyst & Global Compensation Consultant to provide insights on HR data, develop compensation strategies, and drive organizational performance through data storytelling.

The Fraud Analytics Intern will analyze data, create fraud features, develop predictive models, and collaborate with data scientists in cloud environments.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.

The Analyst II focuses on enhancing Revenue Cycle operations through data analysis, process optimization, and change management while collaborating with various stakeholders to ensure effective project delivery.

The Pricing Actuary leads complex reinsurance transactions, mentors a team, and develops innovative analytics strategies to enhance client solutions.

Lead financial analytics projects focusing on Medicare, analyzing data, developing financial models, and translating findings into actionable insights for leadership.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

As Director of Data & Analytics, you'll build a modern data stack, manage dashboards and reporting, ensure governance, and lead a data team.

The Sr. Manager of Analytics leads analytics functions, managing a team to drive insights and business growth across Marketing and Technology.

As an Analytics Lead, you will conduct research, collaborate on client strategies, mentor team members, develop insights, and create measurement products to guide decision-making.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

Lead and grow the analytics team, collaborate with leaders to shape experiments, dive into data using SQL and Python, and present insights to executives.

Lead evaluation of new data assets, develop data strategies, build predictive models, support M&A, and engage clients. Manage analytics teams and promote innovation.

The Director of Data Analytics leads analytics strategy and operations, overseeing business intelligence projects and managing a team. Responsibilities include driving forecasts, statistical modeling, and cross-functional collaboration to enhance reporting and customer engagement.

The Actuarial Consultant will lead pricing initiatives, collaborate with technology and data teams, and perform complex actuarial analyses for Personal Lines products.

Lead efforts in designing and implementing analytical solutions, improve processes, and manage relationships across project teams in a healthcare setting.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

Lead the development of analytics and BI functions within Snorkel's Data-as-a-Service team, focusing on data modeling, team management, and driving strategic business decisions based on analytics insights.