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

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.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

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.

The Senior Principal Data Solutions Partner leads client relationships, driving data-driven strategies for enterprise accounts, collaborating across teams to optimize performance and deliver insights that enhance business outcomes.

Oversee quality assurance for variant interpretation, lead a team of scientists, ensure adherence to guidelines, and support clinical deliverables.