Top Analytics Jobs in Pittsburgh, PA

The Director Corporate Key Account Management will lead account strategy for a top medical OEM, drive growth and profitability, and manage high-performance teams in a diverse environment.

The Senior Channel Strategy & Analytics Manager will drive the upper-mid funnel strategies and optimize marketing investments to enhance revenue growth.

The Analytics Engineer II designs and builds data models and BI dashboards, collaborates with teams to support analytics solutions, and troubleshoots production issues.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

The Segment Analytics Manager oversees Power BI support, conducts training, collaborates on reporting solutions, optimizes business processes, and ensures data governance while enabling continuous learning.

The GTM Analytics Manager will analyze revenue data, develop performance metrics, and support revenue operations by providing insights for decision-making.

The Senior Director will lead revenue strategy, planning, and analytics, overseeing core revenue planning, cross-functional analytics, and deal execution while managing a high-impact team and collaborating with various departments.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

Develop and support tools, automation, analytics, and live ops for games, emphasizing collaboration and best practices within teams.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

Manage and mentor a team of analysts and data scientists, develop analytics strategies, own analytics projects, and promote data-driven culture.

As a Senior Data Scientist, you will collaborate across teams to enhance data science, analyze models, and improve product features to aid student writing.

Lead the analytics strategy and execution, manage a high-performing team, and drive insights for decision-making across the company.

The internship focuses on operational analytics within DIRECTV FOR BUSINESS, involving projects in KPI analytics, financial analysis, and customer segmentation.

The Senior Data Scientist will own user acquisition analytics, identify growth opportunities, define success metrics, and foster a data-informed culture.

The Manager of Analytics Engineering will lead a team to build and optimize data infrastructure, overseeing data pipelines and collaborating with cross-functional teams to support data monetization efforts.

As an Analytics Engineer, you will lead the design and optimization of scalable data pipelines and models, ensuring the monetization of data. You'll also mentor team members and collaborate on data strategy with cross-functional teams.

The Senior Technical Product Manager will manage AI product development, lead market research, enhance customer engagement, and translate complex AI capabilities into actionable product requirements.

Oversee iLottery operations, manage budgets, develop customer relationships, handle product strategy, and optimize revenue across multiple channels.

The Data Analytics & Visualization Specialist will create Power BI dashboards, perform predictive analytics, and streamline reporting for Talent Acquisition. Responsibilities include delivering data-driven insights and storytelling to aid decision-making.

The Senior Analyst will deliver data-driven analyses and reports, support customer interactions using Tableau, develop SQL queries, and mentor junior analysts.

The Data Analytics Senior Consultant will analyze data, develop reports, collaborate with stakeholders, and provide actionable insights to support strategic initiatives.

As Lead Content Strategist, identify content opportunities leveraging AI, optimize for search, collaborate cross-functionally, and manage content quality and scaling.

The Tech Lead, AI will build and manage a cross-functional team developing AI-powered products, ensuring quality, team culture, and effective project communication.

The VP will lead BeOne's Insights & Analytics strategy, overseeing a multi-disciplinary team and enhancing decision-making through advanced analytics and digital strategies, while ensuring data governance and driving performance insights.