Top Senior Analysis Reporting Jobs in Oklahoma City, OK

Lead a centrally‑federated team of Data Stewards and Data Quality Analysts to operationalize data governance. Translate policies into stewardship processes, enforce consistent definitions and quality rules, oversee issue escalation and remediation, embed stewardship into projects, monitor KPIs, and partner with governance, engineering, and business stakeholders to maintain metadata, lineage, and data fitness.

Lead customer analytics to reduce churn and drive upsell by building predictive models, customer health scores, and executive dashboards. Integrate data from Salesforce, Genesys, Pendo, and Qualtrics, ensure data governance, and partner with Customer Success, Product, Sales, and Finance to operationalize insights and influence strategy.

Lead technical business analysis and BI work: gather and visualize data, design dashboards and reports, perform predictive and statistical analysis, analyze processes, produce requirements/user stories and process maps, support testing and UAT, and serve as Project Manager/Business Analyst for appropriate projects. On-site in Oklahoma City with occasional travel.

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.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Design, build, and maintain scalable data pipelines and ETL/ELT workflows ingesting upstream production and operational data. Architect data integrations with SCADA/ERP sources, ensure data quality, performance monitoring, capacity planning, disaster recovery, documentation, and mentor junior engineers while aligning data engineering priorities with business objectives.

Lead development and maintenance of actuarial data marts, extracts, reports, validations and audits. Drive requirements, technical specs, automations, and financial analyses; mentor staff and coordinate with vendors and business partners to ensure accurate, auditable financial data.

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 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.