Top Analytics Jobs in Tulsa, OK

The Senior Manager, Commercial Analytics will analyze products, markets, and competition while collaborating with cross-functional teams. Responsibilities include designing key analyses, sourcing data, and managing projects to ensure insightful recommendations for brand and sales strategy.

As an Analyst in Data Quality, you will enhance data integrity and usability by collaborating with stakeholders, defining data models, validating data, and maintaining governance processes. Your role involves reviewing data assets, executing analytics for quality maintenance, and ensuring compliance with data policies.

The HRIS Analyst - Senior provides technical and functional support for HR systems, engaging with HR teams and IT to enhance operational objectives. Responsibilities include troubleshooting, process improvements, project management, and customer engagement to optimize HR functionalities and reporting. Regular testing and documentation of processes are also integral to this role.

The Liquidity Data Quality Analyst Sr is responsible for analyzing and implementing FR2052a definitions, managing documentation, supporting transaction testing, developing reporting, and interacting with regulators on FR2052a inquiries and examinations.

Senior Analyst role at Pernod Ricard focusing on driving usage of advanced analytics and machine learning in the commercial organization's decision-making process. Responsibilities include conducting strategic planning analyses, owning tool usage and adoption in the market, and providing training and support to sales teams.

The Data & KPI Analyst collects, analyzes, and interprets large datasets to provide actionable insights for decision-making. The role involves developing KPIs, creating reports and dashboards with tools like Tableau and Power BI, ensuring data accuracy, and collaborating with cross-functional teams to drive business performance improvements.

As a Senior Researcher at Monad Labs, you will design efficient algorithms and architectures for storage and recovery in distributed systems, conduct research on new architectures, and collaborate with a skilled team to tackle challenging problems in a fast-paced blockchain environment.