Top Senior Data & Analytics Jobs in Tulsa, OK

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Design and maintain a dbt-based business data layer for GTM metrics, centralize and reconcile multi-source data, implement automated data quality and reconciliation checks, align and document metrics with stakeholders, mentor analytics team, and lead root-cause investigations into complex data anomalies.

As a Senior Data Scientist at Yahoo Mail, you will enhance user growth strategies via product innovation, overseeing research projects and analytics.

Designs and operates scalable serverless AWS data pipelines, data models, ETL/ELT workflows, feature stores, and analytics-ready data assets. Partners with AI, Analytics, Product, and Underwriting teams to support reproducible ML training and scoring, MLOps, data quality, monitoring, governance, and production troubleshooting. The role handles sensitive healthcare and financial data, optimizes serverless workloads, supports batch and near-real-time processing, and applies infrastructure-as-code, CI/CD, documentation, and responsible data-use practices.

Lead the organization’s analytics strategy, manage a team of analysts, conduct advanced data analysis, and deliver actionable insights to stakeholders. Oversee analytics tools, scalable data systems, and data governance practices while collaborating with marketing, sales, operations, and product teams. The role requires expertise in BI platforms, programming languages, big data technologies, cloud platforms, web analytics, and experimentation tools.

Owns the end-to-end architecture, development, infrastructure, data pipelines, and Power BI reporting platform supporting data governance, informatics, analytics, auditing, and data quality. Leads and mentors a data engineering team, defines schemas and engineering standards, ensures security and HIPAA compliance, oversees testing and Agile delivery, manages stakeholder requirements, and remains hands-on with backend technologies, data models, Power BI, and DAX.

Senior individual contributor who designs, develops, optimizes, and maintains complex SQL data solutions and Microsoft SQL Server instances. Leads data modeling, performance tuning, schema design, and data quality efforts; partners with engineering, ETL, BI, and product teams; drives standards, architecture, governance, and compliance for scalable, high-performance data platforms.

Lead business analysis, requirements definition, system administration, integration development, and reporting for enterprise systems and data initiatives. Partner with stakeholders to design solutions, manage user access, troubleshoot systems, support upgrades and migrations, and develop reporting in Kantata, NetSuite, Salesforce, and Power BI.

Lead design of end-to-end analytics and data solutions, produce architecture diagrams and technical designs, guide delivery teams, run client discovery and requirements sessions, support pre-sales and proposals, build reusable frameworks, and manage and mentor a delivery team to ensure quality and alignment to architecture.

Lead a team that manages master and client data operations, driving data quality, process improvements, automation, backlog and project execution, performance metrics, and cross-functional coordination to ensure timely, accurate data delivery and operational scalability.