Top Data & Analytics Jobs in Tulsa, OK

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Lead a business intelligence analytics department delivering data-driven insights for healthcare business segments. Manage teams, set policy, advise leadership on strategic opportunities, analyze complex internal and external data, and ensure efficient operations and talent development.

The IT Business Systems Analyst leads projects from inception to completion, collaborating with stakeholders to analyze needs and deliver technical solutions while ensuring stakeholder alignment and driving impactful business decisions through data visualizations.

The Data Business Analyst will manage data integrity initiatives, lead project teams, and ensure accurate data processes, primarily using Salesforce.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Lead modernization efforts for data infrastructure as a Senior Data Engineer, focusing on ETL pipeline development and Snowflake implementation while mentoring peers and ensuring data security.

Design and lead enterprise data warehouse solutions using IBM DataStage, Oracle, Teradata and Cognos. Translate business requirements to technical designs, define data strategy and roadmap, ensure data quality and modeling, establish standards for BI, analytics and Big Data, and coordinate with BI/reporting teams on integrations and deployments.

Implement, build and maintain SAP BW data structures (3.5/7.0/7.3); design/create/modify SAP and non-SAP extractors; schedule Control-M batch jobs; troubleshoot production data issues; liaise with data analysts and customers while meeting project deadlines.

The AWS Data Engineer designs and maintains data solutions on AWS, implementing scalable pipelines, integrating systems, ensuring security, and optimizing workflows.