Top Senior Data & Analytics Jobs in Oklahoma City, OK

Senior DBA responsible for designing, building, and maintaining MS SQL Server databases and ETL (SSIS) processes, managing a SQL Data Warehouse for reporting, optimizing performance, ensuring data integrity/recovery, and producing technical documentation.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Design, build, and maintain scalable data pipelines and ETL/ELT workflows for upstream oil and gas data. Architect data integrations, ensure data quality and governance, monitor performance and capacity, develop disaster recovery, document systems, recommend tools, and mentor engineers to align data solutions with business strategy.

Design, build and maintain SAP BW data structures (versions 3.5, 7.0, 7.3). Support SAP MM and PM integrations. Develop dashboards using Xcelsius and other dashboard tools. Communicate with stakeholders and deliver BI solutions for a 6-month contract.

The Data Analyst Supervisor leads a team to provide data-driven insights, oversees projects, ensures data accuracy, and collaborates across departments for strategic decision-making.

Design and deliver Epic-based reporting, dashboards, and analytics. Collaborate with clinical, operational, financial, and executive leaders to translate requirements into SQL-based data models, validate data accuracy, manage reporting databases and security, and train end-users on self-service tools.

Design and maintain scalable data models and version-controlled analytics workflows to convert raw data into trusted datasets for BI. Collaborate with data engineering and business teams to ensure data quality, documentation, and alignment with business objectives, enabling reliable reporting and analytics.

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 and develop a team delivering enterprise data engineering, analytics, and governance. Oversee data pipelines, ETL/ELT, cloud platforms, integration services, and stakeholder engagement to enable data-informed decision-making across the university system.

Partner with sales leadership to define business requirements, design end-to-end analytics solutions (data models, semantic layers, dashboards), build scalable Power BI/Microsoft Fabric reporting, translate data into executive-ready insights, drive automation and standardization, mentor analysts, and influence business decisions with data-driven recommendations.