Top Data & Analytics Jobs in Tulsa, OK

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

Lead and manage institutional research activities: supervise staff, collect and analyze quantitative and qualitative data, produce reports and dashboards, support program/course reviews, accreditation, survey design, and provide data-driven recommendations to inform institutional planning and continuous improvement.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The Internal Auditor will validate compliance evidence, conduct internal audits, and communicate audit insights, focusing on various compliance frameworks.

The Reporting & Documentation Specialist will build and maintain dashboards and reports within the ProScore Core Portal, using SQL and Stimulsoft, while ensuring accurate documentation and collaboration with stakeholders.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Lead design and delivery of a cloud-based data platform: implement CDC/streaming ingestion, modeling, transformations, cross-region DB replication, observability, governance (PII, lineage, access), and enable downstream marts while mentoring engineers and driving IaC/automation-first practices.