Top Data & Analytics Jobs in Tulsa, OK

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Build reporting infrastructure from scratch by integrating data from McLeod, APIs, files, and spreadsheets; write optimized SQL; create KPI dashboards and reports in Power BI and Excel; automate recurring analysis using Claude and connected Microsoft tools; validate outputs against source data and the general ledger; and support budgeting, forecasting, cash flow projections, pricing, and strategic decisions.

Leads H&P’s global market, commercial, and competitive intelligence function. Builds market models, forecasts, dashboards, scenarios, and executive insights on drilling, rig, and oil and gas markets. Partners with finance, strategy, commercial, operations, technology, and regional teams to support planning, investor communications, and decision-making. Manages research providers and data subscriptions, facilitates global intelligence discussions, applies AI responsibly, and establishes standards for data quality, sourcing, governance, and distribution.

Processes and maintains geospatial pipeline data in enterprise GIS systems. Responsibilities include editing and loading pipeline datasets, performing ArcGIS spatial analysis and geoprocessing, conducting quality control, identifying data issues, supporting regulatory reports, and collaborating with pipeline project, operations, integrity, and compliance teams.

Develops and oversees data strategies and architectures for Tech Ops IT. Translates business requirements into technical solutions, supports data modeling and warehouse integration, establishes standards for BI and advanced analytics, ensures data quality and integrity, coordinates warehouse changes with reporting teams, and recommends technology and process improvements.

Supports the design and implementation of financial and management reporting and analytics. Oversees business intelligence strategy, KPI alignment, report rationalization, data governance, and reporting automation. Partners with finance and actuarial teams to improve reporting efficiency, consistency, quality, timeliness, and risk management. Requires business intelligence, relational database, project management, strategy, change management, process improvement, and reporting experience, with Oracle reporting expertise preferred.

Leads Relation Insurance’s enterprise data engineering and analytics function, owning data strategy, architecture, pipelines, governance, quality, reporting, and AI-enabled workflows. The role requires hands-on development in SQL, Python, and PySpark, executive communication, technical team leadership, lakehouse architecture, Power BI modeling, production support, and secure data management. The director also directs AI coding agents, builds LLM-powered workflows, establishes engineering standards, and delivers reliable data products aligned with business priorities.

Lead design and delivery of enterprise data platforms, pipelines, and governance. Manage and mentor data engineering teams, drive cloud-native modernization, ensure data quality, enable AI/ML initiatives, and collaborate with stakeholders to deliver scalable, secure, and automated data solutions aligned to business objectives.

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.