Top Analytics Jobs in Tulsa, OK

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

The Client Analytics Manager will manage client relationships, oversee data integration processes, coordinate between teams, and deliver analytics reports.

The Lead People Analytics Consultant will translate workforce data into insights, manage client relationships, and develop analytical solutions to aid workforce strategies.

The People Analytics Partner collaborates with HR and business leaders to provide data-driven insights and recommendations for talent decisions and survey strategies.

The Data & Support Analyst I will troubleshoot user-reported issues, requiring SQL knowledge, supporting web applications, and communicating effectively with stakeholders.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Leading the development of AI/ML models for financial crime risk mitigation, analyzing data for anomalies, and enhancing compliance systems.

The VP, Data Science and Campaign Analytics will lead data-driven initiatives, develop predictive models, support campaign execution and analysis, and ensure compliance with analytics governance.

The role involves designing ETL pipelines, data integration, quality assurance, analytics, and creating dashboards to support business intelligence efforts.

The Product Analytics Scientist will analyze user behavior, design A/B tests, define KPIs, build dashboards, and optimize marketing strategies using data insights.

The role involves developing AI/ML models to detect financial crime, analyzing transactional data, and enhancing monitoring systems. Strong analytical skills and compliance knowledge are essential.

The Actuary analyzes and forecasts data to provide insights for strategic decisions, ensuring data integrity and advising executives on functional strategies.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Data Analytics Associate will analyze healthcare data, manage research projects, and support customer engagements using analytics tools to drive insights.

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

The role involves leading risk management functions, developing data controls, facilitating communication with stakeholders, and ensuring compliance with regulations in data and analytics management.

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

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

The Business Analyst will build scalable financial models, conduct complex data analyses, and provide data-driven insights for strategic planning and decision-making.

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

The Revenue Analytics Associate will analyze revenue data, present findings to leadership, and drive insights to improve sales strategies.

The Sr. Director will lead healthcare analytics and employer decision-making solutions, manage client delivery teams, and ensure engagement and profitability targets are exceeded.

The Data Analytics Lead will manage a team of analysts, oversee analytics projects, drive BI tool adoption, and ensure delivery of actionable insights using a modern data stack.

The Actuary analyzes and forecasts financial data to support strategic decisions, ensuring data integrity, and serves as a subject matter expert on ESRD population for Medicare Advantage plans.

Responsible for developing and monitoring Acquisition strategies to support Credit Acquisition initiatives, collaborating with cross-functional teams, and ensuring sound strategy governance through data analytics.