Top Remote Data & Analytics Jobs in Tulsa, OK

As an IT Intern, support the firm’s data and business intelligence initiatives, assist in the transition to a new BI platform, and collaborate on data analytics and reporting using SQL and Power BI.

The Senior Informatics Analyst utilizes technology and advanced analytics to improve healthcare outcomes through data analysis and management, focusing on risk adjustment and reporting.

Serve as a client-facing analytics partner for a major US retailer, delivering data-driven analyses and actionable insights using syndicated and retail data. Lead project scoping, multi-source integration, storytelling, and presentations while partnering cross-functionally to drive client outcomes.

The Data Scientist will enhance multifamily revenue management through data insights and AI, driving smarter pricing strategies and product features.

Design and maintain data pipelines and cloud-based platforms for analytics and machine learning workloads, collaborating with AI/ML engineers and ensuring data quality and governance.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

The Decision Support Analyst collaborates with customers and teams to prioritize data requirements, perform complex data analysis, and implement decision support systems for effective business choices.

The Data & Analytics Engineer designs and optimizes scalable data models in Snowflake, translates business requirements into actionable data products, and ensures data integrity.

The BI Developer II collaborates on healthcare data projects, designing dashboards in Tableau and Amazon QuickSight, managing ETL solutions, and ensuring data quality and documentation.

The intern will gain experience in data visualization, quality checks, and reporting, collaborating with cross-functional teams to improve analytics and data governance.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.