Top Senior Data & Analytics Jobs in Oklahoma City, OK

Lead design and scaling of the data platform and analytics pipelines. Build and maintain ETL/ELT workflows, integrations, serverless data services, and reliable data models. Mentor teammates, improve automation, observability, and data governance to support analytics and operational insights.

Lead clinical informatics efforts to design fit-for-purpose research datasets and analytic solutions. Serve as liaison between clinicians and researchers, support EHR data, clinical vocabularies, interoperability, NLP/AI/ML, and deliver analytic products for research and business use.

Transform operational and financial data into dashboards, KPIs, and recurring executive reports. Validate and govern data across source systems, automate reporting pipelines, perform financial analysis (budgeting/forecasting), support data quality and governance, and partner with stakeholders to translate business questions into analytical solutions.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Senior individual contributor responsible for Neo4j platform engineering: deploying and operating multi-node clusters, ensuring HA/DR, encryption, backup/recovery, troubleshooting performance, integrating observability (Prometheus/Grafana/New Relic/Splunk), managing Kubernetes deployments, and supporting graph data science tools (Bloom, GDS, Linkurious) for analytics consumers.

Owns end-to-end data strategy for an assigned domain supporting mobile app user experience. Translates product roadmaps into data requirements, maintains data roadmaps, prioritizes delivery, ensures dataset quality and governance, and partners with product, engineering, domain leaders, and executives to connect data initiatives with organizational outcomes.

Embed as the primary analytics partner on a digital product team to define KPIs, own measurement plans, build PowerBI dashboards, analyze member product behavior and funnels, design and evaluate A/B tests, write SQL/Python for analyses, and translate findings into actionable recommendations for product leaders and senior stakeholders.

Maintain and improve subsurface datasets and geoscience project environments; develop repeatable workflows, QA/QC standards, dashboards, and AI/ML-enabled tools; integrate subsurface, production, and commercial data to support geoscience teams and technical decision-making.

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.