Top Senior Analytics Jobs in Pittsburgh, PA

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

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.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Director of Product Analytics will manage a team to set analytics agendas, assess product success, and enhance business reporting using data-driven strategies.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Principal, Advanced Analytics - Subscriber Forecasting leads forecasting methodologies and develops frameworks for subscriber volume forecasting, integrating advanced analytics, time-series modeling, and AI. Responsibilities include scenario planning and cross-functional collaboration to inform enterprise decision-making.

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.

The Senior Staff Engineer - SAP Analytics Consultant oversees SAP analytics projects, focusing on SAP Analytics Cloud solutions, data integration, and collaborating with business stakeholders to gather requirements and support analytics functionalities.

The Fraud Risk Analytics Manager will lead fraud risk strategy optimization and provide analytical insights to reduce fraud risk and enhance customer outcomes. They will partner with teams to ensure transparency and governance in fraud strategies, using advanced data analysis techniques to drive decision making.

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

As a Supervisor in Analytics, you will lead media analytics projects to generate insights and support client decisions, managing analytics teams and client communications effectively.

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.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.