Top Analytics Jobs in Tulsa, OK

The People Analytics Consultant will deliver actionable insights to inform strategic talent decisions. Responsibilities include leading complex analytics projects, building strong relationships with HR stakeholders, and driving the adoption of people analytics solutions. The role emphasizes data storytelling and translating insights into actionable recommendations.

The Senior Commission Analyst at CDW calculates and analyzes commissions earned by Sales coworkers, prepares commission payments, ensures data accuracy, designs reporting analyses, and supports Sales and Finance for commission-related inquiries. The role also involves user acceptance testing and improving commission processes. Training Sales coworkers on compensation changes is also part of the responsibilities.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

As a sports statistician, you will attend various sporting events, reporting live data back through our technology. You must have a good understanding of sports rules, be reliable, and have regular availability on weekends and evenings.

As a Data Analyst at RunPod, you will analyze user interaction data to optimize product performance and operational efficiency. Your role involves refining user engagement strategies, monitoring KPIs, and collaborating across teams to drive data-informed decisions. You'll prepare reports, develop data collection strategies, and present insights to stakeholders, contributing to ongoing data-driven initiatives.

The Analyst will provide tailored solutions and insights in the energy sector, working collaboratively with a multidisciplinary team to conduct technical analysis, engage clients, and deliver high-quality consulting services. Responsibilities include data analysis, economic modeling, and communicating insights effectively through various media.

As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, ensure data consistency and quality, provide documentation for downstream teams, and collaborate with finance and analytics for business metrics. Your goal is to drive effective data access, model performance, and support high-quality insights.