Top Data & Analytics Jobs in Oklahoma City, OK

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Lead a team to analyze sales data, build and maintain Power BI and Excel reporting, leverage AI and automation for pipeline and lead scoring, align cross-functional GTM strategies, ensure data quality, and deliver actionable, executive-ready insights to drive sales performance and quota attainment.

The Product Analyst will measure results and deliver insights on new AI products, identify opportunities, and guide product strategy through data analysis and visualization.

Analyze pharmacy claims and utilization to identify cost drivers and savings opportunities. Support specialty drug monitoring, PBM evaluations, stop-loss underwriting, client reporting, dashboards, and pharmacy benefit strategy development while collaborating with consultants, underwriters, brokers, and vendor partners.

Deliver end-to-end healthcare data migration: analyze source systems, develop SQL queries and transformation logic, validate and reconcile converted data, collaborate with clients and teams, and use AI-assisted tools to improve delivery.

Lead and scale Boulevard's data platform engineering organization to build reliable, secure, and performant data pipelines, governance, ML/AI infrastructure, and customer-facing data products. Partner with Product and Insights to deliver reporting and analytics, enforce data quality and HIPAA-compliant security standards, and drive strategic roadmap and operational excellence.

Restructure and maintain Airtable relational architecture for fertility industry data, implement automations and integrations (Zapier, Softr), enforce data governance and permissions, build dashboards and reports, execute data acquisition and enrichment to scale the database, conduct audits, document SOPs, and support onboarding and system monitoring.

Build and maintain GTM and pipeline analytics, own forecasting and pipeline-quality metrics, execute recurring revenue operating cadences, maintain SQL queries and BI views against Salesforce/Redshift, support systems rollouts, and produce ad hoc analyses to inform leadership decisions.

Lead the architecture and development of CareDx's enterprise BI ecosystem. Own Power BI modeling, DAX optimization, governance (RLS, deployment pipelines), and self-service enablement. Collaborate with data engineering to build scalable Databricks/Delta Lake/PySpark pipelines, leverage Microsoft Fabric and Lakehouse architecture, mentor BI developers, translate business needs into analytics solutions, and drive BI performance and reliability.

Lead and scale customer analytics and intelligence to inform acquisition, engagement, retention, pricing, and commercial strategy. Build and manage an analytics organization, partner with Data Science and Data Engineering to deliver predictive models, real-time customer data layers, attribution and pricing analytics, and next-best-action frameworks. Translate complex insights into executive recommendations and operationalized data products to drive measurable business outcomes.