Top Remote Analysis Reporting Jobs in Oklahoma City, OK

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Conduct people analytics and psychometric research to improve employee experience and organizational effectiveness. Design and validate surveys and assessments, perform statistical analyses and experiments, evaluate talent initiatives, and translate behavioral and workforce data into actionable insights for HR leaders and executives. Manage multiple projects while applying I/O psychology, quantitative methods, and data storytelling.

Provides strategic and technical leadership for integrated data architecture, performance dashboards, data governance, analytics, verification tools, and data quality processes in Uganda. Translates program requirements into system and analytical specifications, integrates government data sources, identifies risks through data triangulation, and supervises information systems, monitoring and evaluation, and analytics managers. The role also supports government engagement, institutional ownership, proposal development, stakeholder relations, and team growth.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Lead SAP BusinessObjects reporting delivery: gather requirements, design universes and Webi/Crystal/Xcelsius reports, implement data and system security, support clustered BO environments, perform testing and upgrades, mentor juniors, and provide production support and user training for BI/data warehouse solutions.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Collects and analyzes data from project, financial, maintenance, and field systems; builds KPI dashboards and recurring reports; identifies trends, risks, and opportunities; supports budgeting and forecasting; validates data with project and operations teams; and communicates actionable insights to leadership while improving reporting processes.

Designs Azure-based data models, simulations, test environments, automated testing frameworks, and performance validation solutions for healthcare data pipelines. Develops test data generators, validates ETL and HL7 FHIR transformations, supports data quality and reliability, and collaborates with engineers and architects on design and code reviews. The role also provides technical guidance on testing architecture, CI/CD, infrastructure as code, resiliency, and large-scale cloud data processing.