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

Build and maintain scalable ETL pipelines using Python, Spark, and Airflow; collaborate with AI/ML and Product teams to deliver AI-native data products; identify and resolve ETL bottlenecks; ensure code quality through reviews and tests; own sprint deliverables and contribute to roadmap planning and major epics.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

Use statistical modeling, data analysis, and visualization to generate actionable insights that improve loan origination and production. Collaborate cross-functionally to design, test, and implement data-driven strategies, maintain data integrity, and communicate results to stakeholders to influence business decisions.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

Lead digital measurement and analytics for Synchrony's digital initiatives, partnering with marketing, technology, and US/India teams. Drive data collection, validation, reporting, and analytics roadmaps using Adobe/Google Analytics, SAS/SQL and Tableau. Manage project delivery in Agile, mentor and hire analytics talent, and deliver actionable insights to optimize customer and digital experiences.

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

Lead healthcare data analysis and quality efforts across claims, pharmacy, and enrollment data. Translate business needs into technical requirements, build complex queries, recommend process and data improvements, manage projects, and mentor team members while liaising between operations, R&D, and IT.

Lead growth analytics by partnering with product, marketing, sales, and finance to identify opportunities, design and analyze experiments, build dashboards, decompose north-star metrics, and surface actionable insights that drive company growth.

The role involves enhancing the client's BI platform by managing data governance projects, documenting strategies, policies, and standards for effective data management.

As a Senior Product Analyst, you will conduct complex quantitative analysis for property & casualty products, manage projects, develop analytical strategies, and communicate findings with stakeholders to enhance product performance.