Top Data & Analytics Jobs in Tulsa, OK

Supports cross-functional manufacturing, finance, engineering, IT, and operations initiatives through data consolidation, business analysis, KPI reporting, requirements gathering, and cost-benefit analysis. The role develops recommendations, project status reports, presentations, and post-project audits while helping support strategic decisions and operating effectiveness. This position is remote within specified states and requires up to 25% travel.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Analyzes healthcare-related data to produce reports, visualizations, and actionable insights for customers and internal stakeholders. Uses SQL and Excel to extract and supplement data, creates presentations, supports dashboard and DaaS product testing, and collaborates with product management and data engineering teams. The role also contributes to peer review, problem-solving, and ongoing development of analytical and data storytelling capabilities.

Leads the data engineering organization and enterprise Databricks Lakehouse on AWS. Owns team development, platform strategy, delivery, reliability, governance, budget, vendors, architecture standards, and regulatory compliance. Partners with executives on data transformation, MDM, ERP migration, analytics, and AI enablement. Requires extensive data engineering leadership, Databricks and AWS expertise, regulated-environment experience, and proven budget and vendor management.

Leads causal inference studies, clinical outcomes analysis, member insights, and strategic opportunity sizing. Translates ambiguous business questions into analytical approaches, applies statistics and machine learning, establishes analytics best practices, mentors analytics professionals, and presents recommendations to executive leadership. Requires healthcare payer data expertise, advanced quantitative methods, strong SQL and Python skills, and experience with cloud data platforms and scalable analytical datasets.

Supports clinical data analysis, workflow improvement, solution requirements, project coordination, clinical content, dashboards, and customer engagement. Serves as a clinical subject matter expert, applying healthcare terminologies, data standards, SQL, Excel, and analytical tools to generate insights from EHR data. Collaborates with EHR vendors, pharmacies, payers, and internal teams on health IT initiatives and clinical solutions, including AI-enabled capabilities.

Manage Oracle and PostgreSQL databases across on-premises and AWS environments, including upgrades, migrations, performance tuning, security, and backup recovery. Design and maintain ETL pipelines using Talend, SQL, Power Automate, and related tools. Perform data profiling, quality analysis, governance, and cloud migration activities. Create technical architecture and lineage documentation while supporting regulated, audit-ready data platforms and integrations.

Lead the architecture, design, development, troubleshooting, and optimization of Snowflake data solutions for higher education clients. Conduct discovery and design workshops, assess existing environments, create enterprise data models and future-state architectures, develop ETL/ELT pipelines, implement security and data-quality controls, and optimize performance and costs. Serve as a client-facing technical advisor, translate business requirements into scalable solutions, lead technical workstreams, support business development, mentor teams, and travel periodically.

Own customer data migration projects from analysis and cleanup through execution, validation, and communication of results. Develop and maintain migration scripts and tooling, work with APIs and structured data, resolve quality issues, and collaborate with Customer Success, Support, Product, and Engineering. Manage multiple projects, handle complex datasets, answer customer questions, safeguard sensitive information, and improve migration processes, documentation, and scalability.

Leads analytics engineering and analytics-ready data architecture for government clients. Designs standardized data models, transformation logic, validation frameworks, and reusable integration patterns. Governs data quality, QA, backfills, and release processes while resolving complex data issues. Integrates web, email, social, survey, and client-system data to support dashboards, reporting, measurement, and insights. Advises stakeholders, influences enterprise standards, coordinates with product teams, and supports client-facing analytics workstreams.

Leads enterprise business intelligence and analytics strategy, owning the vision, roadmap, KPIs, and adoption measures for insight products. Manages data engineering and analytics teams, partners with senior leaders, translates business questions into analytical solutions, and delivers executive-ready insights. Provides technical oversight for data models, pipelines, semantic layers, data quality, scalability, and metric standardization across transformation, sales, operations, sustainability, and other enterprise domains.