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

The Database Administrator will design, maintain, and optimize databases, ensuring compliance and performance, while managing user access and data security, among other responsibilities.

The Senior Technical Business Analyst bridges business needs and technical solutions, overseeing requirements, guiding development teams, and ensuring product quality while mentoring junior staff.

The Senior Taxonomist classifies transactions, manages taxonomy updates, mentors teams, and collaborates on projects in the Data & Marketing Solutions group.

Lead data transformation initiatives and establish data architecture frameworks, overseeing the design, implementation, and maintenance of the enterprise data ecosystem while providing technical leadership and direction.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Business Systems Analyst III will bridge the gap between business and technology stakeholders, manage Agile processes, create user stories, and perform complex data analysis to support product development in the financial services sector.

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.