Top Senior Data & Analytics Jobs in Tulsa, OK

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

Lead design, build, automation, and maintenance of enterprise reports, dashboards, and Alteryx workflows. Analyze operational and transactional data, produce executive summaries, recommend metrics and process improvements, and own a report portfolio while partnering with stakeholders to drive data-informed decisions.

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.

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.

Lead SAP BusinessObjects reporting delivery: gather requirements, design universes and Webi/Crystal/Xcelsius reports, implement data and system security, support clustered BO environments, perform testing and upgrades, mentor juniors, and provide production support and user training for BI/data warehouse solutions.

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