Top Remote Analysis Reporting Jobs in Tulsa, OK

As a Senior Data Engineer, you will design and optimize data pipelines, enhance system efficiency, and collaborate with teams to drive health outcomes using large healthcare datasets.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

Lead the Central Statistical Monitoring team, ensuring subject safety and data integrity in clinical trials through statistical analysis and collaboration with various stakeholders.

As a Senior Manager, R&D Data Steward, you will oversee stewardship of Pharma R&D data, ensuring data quality and compliance across the R&D value chain. You will lead a team, operationalize data governance, and drive improvements in data management processes, leveraging automation and cross-functional collaboration to enhance data-driven insights.

Lead the Central Statistical Monitoring team to oversee statistical design and governance in clinical trials, ensuring data integrity and safety. Develop monitoring indicators, validate models, and communicate findings to cross-functional teams. Provide training and support for audits and inspections, promoting continuous improvement in statistical practices.

The Acquiom Imports Analyst interprets payment data, manipulates spreadsheets for import into NetSuite, and ensures data accuracy for M&A transactions.

As a Director in the Data & Analytics team, you will lead client engagements, manage projects, develop strategies, create proposals, and mentor team members in data-driven initiatives.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The role involves managing actuarial modeling for Retirement Plans, ensuring quality of outputs, overseeing BAU execution, and training junior staff.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.

Analyze revenue and growth performance, provide insights on auction behavior, measure A/B tests, define KPIs, and perform root-cause analysis.