Top Data & Analytics Jobs in Oklahoma City, OK

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

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.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.

Lead onboarding, mapping, and validation for a Customer Data Hub: write user stories and acceptance criteria, define mastering/transformation logic, perform data lineage and reconciliation, validate integrations and outcomes, support production incidents, create runbooks and documentation, and partner with product, engineering, QA, and governance teams to enable reliable customer data for applications and analytics.

Lead and mature an enterprise analytics function to provide executive dashboards, KPI frameworks, predictive models, and governance. Partner with leaders to drive data-informed decisions, automate reporting, and build a trusted single source of truth while coaching and scaling an analytics team.

Six-month internship to collect, clean, and analyze technical service, lab, and customer case data; build structured datasets; create visualizations and Power BI dashboards; support AI-assisted data processing and automation; present findings and collaborate with engineers and scientists to inform product and reliability decisions.

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.

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.

Validate and monitor risk signals for fraud and BSA/AML/OFAC detection systems. Ingest, cleanse, and validate data; maintain data quality dashboards and scorecards; support model and rule refinement, root-cause analysis, governance-grade documentation, and cross-functional collaboration with Compliance, Data, and Risk teams.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.