Top Data & Analytics Jobs in Tulsa, OK
The Sr. Workforce Management Analyst will oversee scheduling, resource allocation, and capacity planning for the Data Services department. Responsibilities include developing forecasting models, providing leadership reports, optimizing project timelines, and coordinating with various teams to analyze data and forecast demand.
As a Data Specialist, you will bridge the areas between Mission and Engineering Teams by leveraging open-source intelligence (OSINT) to enhance data collection strategies, ensuring mission success for critical customers. Your role involves developing new data methods, assisting with time-sensitive projects, and improving operational strategies based on user needs.
The Data Analytics Partner will analyze People data to enhance strategies related to talent attraction and retention. Responsibilities include building relationships with stakeholders, gathering requirements, creating visualizations, ensuring data accuracy, and assessing the impact of people strategies on business outcomes.
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The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
The Senior Analytics Engineer will connect business needs with technical solutions by creating data marts, collaborating on analytical data models, championing coding standards, and building data pipelines to ensure high data quality. They will work closely with other engineers and business partners to promote data insights and a data-driven culture.
The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
The Associate Data Analyst will work with the Payer team to develop analytics, create dashboards to track business metrics, facilitate data transfers, and improve decision-making through data visualization and interpretation. The role requires collaboration with stakeholders to enhance reporting infrastructure and communicate insights effectively to both technical and non-technical audiences.
As a Data Scientist at RunPod, you will develop predictive models to understand user behavior, optimize conversions, forecast revenue, and collaborate with cross-functional teams to deliver data-driven insights that shape business strategy.
As a Data Scientist at Movable Ink, you will run a/b tests on the Da Vinci personalization product and analyze data to improve product outcomes. You will collaborate with client teams to help resolve issues and provide insights based on experimental data.
As a Staff Analyst on the Personal Loans team, you will analyze and optimize the Personal Loans product through data insights and collaboration with cross-functional teams. Responsibilities include setting product strategy, conducting quantitative analyses, developing analytical frameworks, and mentoring fellow analysts.
Top Companies in Tulsa, OK Hiring Data + Analytics Roles
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