Top Remote Analytics Jobs in Tulsa, OK

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The intern will develop data structures, automate pipelines, perform analysis, and maintain documentation for the Sales Operations team at Voltus.

The AVP, Research Science and Advanced Analytics leads teams in delivering analytics and research results, optimizing client outcomes through advanced statistical tools and methodologies in healthcare.

The Manager, Analytics Solutions & Experience will design and enable analytics solutions, enhance client experiences, and support analytics adoption within the Unify platform while collaborating with cross-functional teams.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

Manage analytics projects, ensuring client satisfaction while leveraging real-world data. Collaborate with cross-functional teams to translate business questions into data analysis, and lead process improvements within the team.

The Senior Analyst in People Analytics will design and manage dashboards, analyze HR datasets, and leverage AI tools for data-driven insights, while collaborating with various teams to enhance people strategies.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

The Strategy and Analytics Associate conducts analyses, creates presentations, collaborates with clients and sales teams, and enhances partner relationships to drive value in identity verification services.

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

The Director of Product Analytics will manage a team to set analytics agendas, assess product success, and enhance business reporting using data-driven strategies.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Design and enhance data management and analytics functions, build data assets, establish engineering standards, and enable self-service data access for analytics at Danaher.

Support client-facing performance measurement and reporting: calculate and validate outcomes, maintain dashboards and metrics, automate repeatable workflows, improve metric governance, and translate results into clear insights for internal and external stakeholders.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

The role involves architecting data solutions, building data products in Snowflake, establishing data standards, and enabling self-service data access while ensuring data quality and compliance.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.