Top Analytics Jobs in Tulsa, OK

The Client Analytics Partner develops data-driven strategies, translating complex data into actionable insights, and collaborates with clients to enhance campaign performance through analytics and reporting.

The Insights Associate develops and delivers data-driven insights for clients, collaborating with sales and marketing teams to inform business decisions based on data analysis and research.

Lead AI strategy and research team to develop cutting-edge AI technologies, integrating them into products while mentoring a talented team of researchers and engineers.

Collaborate with teams to drive data science initiatives, improve software performance, define KPIs, conduct experiments, and support product development at Houzz.

Analyze large data sets to identify trends, support departments with analytics, design reporting solutions, and resolve data quality issues.

The Senior Data Analyst will lead data analysis efforts, solve engineering challenges, and enhance consumer experiences through data-driven insights in a fintech environment.

The Director of Business Development will lead client relationships focusing on data and AI. Responsibilities include optimizing services, crafting proposals, and engaging C-level clients. The role involves strategic development and execution of business opportunities, alongside collaboration with internal teams to drive innovation and maintain client satisfaction.

The Senior Data Analytics Engineer is responsible for designing, implementing, and maintaining ETL processes, ensuring data quality, and providing insights to support business growth.

Lead AI research and development, focusing on machine learning solutions, collaborating with teams, and developing product strategies for advanced R&D projects.

As an Analytics Engineer, you will develop data models, ensure data consistency, enable data access for teams, and drive data quality initiatives while collaborating with various departments.