Top Senior Analysis Reporting Jobs in Oklahoma City, OK

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Senior Business Analyst driving operational excellence for global data-center construction through data architecture, KPI frameworks, analytics, automation, and ML-enabled tooling. Owns dataset creation, reporting, scenario modeling, and executive dashboards while partnering with cross-functional teams to translate requirements into scalable data products and measurable performance improvements.

Senior business analyst enabling operational excellence through data products, KPIs, dashboards, automation, and analytics. Build foundational datasets, lead analytics and ML initiatives, define performance metrics, drive tooling/platform integration, and translate results for executives while mentoring teams and promoting data governance.

Lead analytics and tooling initiatives to drive operational excellence for global data-center construction and infrastructure. Translate business requirements into data products, build foundational datasets and KPIs, develop dashboards and automated reporting, run advanced statistical and ML analyses, and mentor stakeholders to improve performance measurement, governance, and decision-making.

Lead measurement strategy for a book of clients using statistical modeling (MMM), incrementality experiments (MMT), and customer analysis. Build insights from large datasets with R, Python, and SQL, present actionable recommendations to clients, mentor analysts, improve measurement processes, and leverage Nova and AI to optimize deliverables and impact business goals.

Design and maintain enterprise revenue-cycle KPIs and dashboards, analyze multi-source RCM datasets, build predictive models, identify process improvements, support audit/compliance, lead stakeholder working groups, author executive deliverables, follow PM best practices, mentor junior analysts, and safeguard PHI/PII under DoD controls.

Collects and organizes information for user manuals, training, installation guides, proposals, and reports. Edits functional descriptions and system specifications. Prepares and maintains systems, programming, and operations documentation and procedures. Maintains internal documentation library, supports financial/administrative tasks, coordinates documentation services, and works with Agile teams in a secure remote environment supporting government projects.

Lead HR analytics initiatives by designing predictive models, building full-stack analytics applications, and partnering with HR stakeholders. Develop data models, ensure governance, perform advanced statistical analyses, and present actionable insights. Drive application development, testing, documentation, UX collaboration, and adoption tracking across global HR teams.

Embed with a core business unit to define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, or partnerships.

Own the embedded BizOps analytics function for a core business area (growth, product, AI, or partnerships). Define problems and metrics, build reports, run analyses and experiments, surface insights, make recommendations, and drive cross-functional execution to improve key business metrics.

Embedded BizOps analyst owning analytics for a core business area (growth, product, AI, or partnerships). Define problems, set metrics, build reports, run analyses and experiments, surface insights, and drive recommendations to stakeholders. Partner with product, growth, finance, and operations to ensure data-informed decisions and end-to-end execution that move key business metrics.

Own the analytics function for an embedded business unit: define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI/automation, or partnerships.

Lead development and implementation of advanced reporting, predictive models, segmentation, donor lifetime value and multi-year forecasting. Apply AI/ML, NLP, and automation to optimize fundraising, design experiments, maintain data systems, and advise leadership while coordinating cross-team analytics and training.

Lead design and build of Microsoft Fabric data solutions and Power BI semantic models. Migrate Tableau reports to governed Power BI, develop Spark notebooks, implement medallion lakehouse patterns, optimize ETL/ELT and DAX, and support CI/CD and stakeholder validation.