Top Data & Analytics Jobs in Oklahoma City, OK

Build and maintain reliable ETL and real-time data pipelines, enable data-driven product decisions, ensure relevant event collection, align data roadmap to business goals, and collaborate with platform, security, and analytics teams to deliver actionable insights.

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.

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 end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

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.

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 Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Designs and implements scalable software solutions, develops maintainable features, resolves bugs, optimizes performance, and writes automated tests. Participates in architecture discussions, code reviews, Agile planning, CI/CD, observability, and adoption of AI-assisted engineering tools. Collaborates with QA, Product Management, and DevOps to deliver software across web, desktop, cloud, and IoT environments. The role is remote for candidates in the Seattle or Los Angeles metropolitan areas, with quarterly travel to Los Angeles.

Build and maintain analytics solutions for cloud technology and network infrastructure teams. Responsibilities include gathering requirements, automating reporting, developing self-service analytics, maintaining data pipelines and models, querying multiple data sources, and communicating insights through dashboards and reports. The role supports data-driven planning, capacity management, colocation, and finance decisions while collaborating with technical and business stakeholders.