Top Remote Data & Analytics Jobs in Oklahoma City, OK

Seeking a Principal Solutions Specialist with deep expertise in RIA data management and client reporting, focusing on performance reporting workflows. The role includes collaborating with teams to enhance data capabilities and ensure accurate reporting across platforms.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

The Senior Solution Engineer will support CCAR and FRB regulatory reporting by ensuring accurate submissions, maintaining documentation, and collaborating with various teams to address data quality and compliance issues.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The Senior Data Analyst collaborates with People teams to transform HR data into insights, conducts analyses, and builds dashboards to improve workforce effectiveness.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.