Top Analytics Jobs in Pittsburgh, PA

The Director of Analytics will lead the analytics function, driving business optimization, developing data assets, creating dashboards, and managing a team of analysts.

The Programmatic Insights Analyst will manage client deliverables, analyze data for insights, and drive performance measurement in media campaigns, delivering actionable results to clients.

Lead the development of consent analytics for Netflix's Ads business, building metrics, dashboards, and predictive models, while collaborating with cross-functional teams to optimize user consent management.

Lead the design and execution of a fraud defense strategy, managing a team of analysts to minimize losses and enhance customer experience in a FinTech setting.

The Analytics Engineer will enhance Freshpaint's data platform, ensuring reliable and actionable insights across teams to facilitate data-driven decisions and product growth.

The role involves designing data models and dashboards within a cloud-based analytics environment to support sales and marketing teams. It includes building data pipelines and troubleshooting data issues while collaborating with cross-functional leaders on data-driven solutions.

Lead marketing operations and analytics, focusing on data-driven strategies, budget analysis, and optimizing marketing technology for growth. Manage complex data analysis and reporting to inform decision-making.

Lead analysis and reporting of regulatory data for P&C insurance, collaborating with teams to build SQL queries and modern data pipelines.

The Director of Analytics leads the analytics strategy for Marvel Strike Force, manages a team, and uncovers insights to drive player experience and revenue.

The Analytics Manager leads a team to deliver impactful analytics, manage the analytics roadmap, establish best practices, and synthesize complex data insights for product strategy.

The Senior Analytics Engineer II will transform data for self-service analytics, ensuring quality and reliability in data models, while mentoring junior team members and collaborating with stakeholders.

As a Growth Analytics intern, you will assist in data analysis, support strategic projects, and collaborate with teams to drive insights and recommendations.

The Data Engineering and Analytics Intern will execute business analyses, build data infrastructure, and collaborate with teams to enhance data accessibility, providing insights for better decision-making in healthcare.

Lead marketing attribution strategy, forecasting, and analytics to influence decisions and revenue growth while collaborating with cross-functional teams.

The Analytics Data Modeler Lead transforms raw data into insights, developing robust data models, integrating data, and ensuring data quality for informed decision-making.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Senior Analyst role focuses on developing data models, dashboards, and reports while utilizing business intelligence tools to enhance operational efficiency and business performance analysis.

The Senior Quantitative Analytics Associate leverages statistical and mathematical techniques to validate models and provide predictive analysis for business needs, mentoring junior staff and delivering insights based on data analysis.

The role involves developing and optimizing Power BI solutions, managing data models, conducting customer discovery meetings, and guiding clients on deployment using Microsoft Azure services. Requires strong technical and interpersonal skills.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.

As a Senior Data Analyst in Marketing, you will analyze marketing data, track performance trends, develop models, and communicate recommendations to support strategic decisions.

The Quant Analytics Lead Associate develops and validates predictive models using statistics and machine learning techniques, conducts quantitative analyses, and communicates insights to stakeholders.

The Sr. Consultant, People Analytics will drive data-driven decision-making, mentor others, analyze HR data, and communicate complex insights effectively.

The Actuary analyzes financial data to forecast performance, ensures data integrity, advises on strategies, and supports business intelligence needs.