Top Remote Senior Level Data & Analytics Jobs in Tulsa, OK

The Senior Business Analyst collaborates with teams to transform data into actionable insights, leads projects, educates users, and recommends improvements across business processes using data analysis.

The Analytics Manager, GTM at Docker will develop and manage dashboards for the Sales team, leveraging SQL and data to drive pipeline generation through actionable insights, while ensuring data accuracy and usability.

The AI Systems Analyst III evaluates AI projects for technical feasibility, maintains the AI Registry, analyzes data quality, and documents requirements for implementation.

The Senior Product & Growth Analyst will lead the analytics behind Trust & Will's growth, focusing on conversion, retention, and lifetime value analysis. Responsibilities include building predictive models, conducting experimentation, and delivering data-driven recommendations to stakeholders. The role involves collaborating across product, marketing, and growth teams, with a strong emphasis on user behavior and funnel analysis.

As an Analytics Engineer, you'll own analytics solutions from data architecture to visualization, ensuring streamlined insights for business stakeholders.

The Senior Enterprise Performance Analyst will develop dashboards, analyze performance data, support decision-making, mentor junior analysts, and improve organizational performance.

The Data Analyst will build KPIs and dashboards in Power BI, analyze complex datasets, and provide actionable insights to stakeholders, mentoring junior analysts.

The Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.

The Sr. R Programmer (PK/PD) is responsible for data preparation, programming analyses, data visualization, ensuring CDISC compliance, and maintaining data integrity through validation and quality checks. They apply advanced R programming skills to conduct PK/PD analyses and develop tools to enhance workflow efficiency.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.