Top Remote Analysis Reporting Jobs in Tampa, FL

The Financial Crimes Strategist monitors and investigates transactional activity, reviews alerts, optimizes monitoring rules, and collaborates on fraud detection strategies.

The Senior Finance Analytics Engineer designs dbt models, collaborates on metrics with finance teams, and enhances data for AI consumption while maintaining SOX compliance.

The Sr. Data Modeler designs and implements data architectures, optimizes SQL queries, and develops data pipelines to support analytics initiatives ensuring scalability and alignment with business needs.

The Business Analyst serves as a liaison between product teams and users, handling requests, creating documentation, and ensuring effective communication and issue resolution.

The Head of Data Science - Fraud Insights will lead research on fraud analytics, design predictive studies, manage a team, and communicate findings to influence strategy and policy.

Design, build, and maintain scalable batch and near-real-time data pipelines and data products using Databricks and Spark. Integrate internal/external sources, implement data models, ensure data quality, support BI (Sisense), CI/CD, and collaborate with analysts, scientists, and stakeholders to enable analytics and decision-making.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

Design and enhance actuarial pricing models and tools, perform account- and portfolio-level pricing analyses (initially Casualty), partner with underwriting/finance/claims/reinsurance, lead onboarding and ad hoc initiatives, mentor junior analysts, and monitor portfolio performance to inform pricing and product strategy.

Lead and execute the company data strategy; design and maintain scalable data models and warehouses; drive ETL implementation; enforce data governance; provide analytics and insights to cross-functional teams; manage budgets, hiring, and team development; monitor performance and adopt emerging data technologies to optimize operations.

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.