Top Analysis Reporting Jobs in Palm Bay, FL

Lead design and development of dashboards and reporting (Tableau) integrating multiple data sources. Perform advanced SQL extraction, Excel analysis, and visualization; translate business requirements into actionable insights. Ensure data accuracy, mentor junior analysts, and collaborate with technical teams. Position is on-site in Melbourne, FL and requires an adjudicated U.S. Secret clearance.

Lead pricing and product development for commercial lines, refine pricing models, partner with IT and portfolio managers, and enhance data-driven decision-making processes.

The Dynamics 365 Functional Analyst will implement and support ERP solutions, focusing on business process optimization and providing expert-level support.

The Senior Fraud Strategy Analyst will design and optimize fraud strategies, monitor performance, develop metrics, and collaborate with teams to enhance fraud detection.

The Big Data Lead will manage database development, ETL/ELT processes, and data warehousing, optimizing performance and ensuring data pipelines work reliably.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

Lead procurement-focused data analysis to inform strategy and optimization. Produce reports and dashboards, validate data, collaborate with stakeholders, mentor junior analysts, and manage multiple projects using Oracle, Ariba, Excel, and Tableau.

Lead the Payments Insights Analytics team, utilizing data and AI/ML for strategy execution, operational excellence, and stakeholder communication.

The Head of Software Sector will develop sector strategies, drive financial performance, lead teams, and enhance product offerings based on customer insights.

The Data Engineering Lead will guide a team to build a scalable AI-ready data platform, focusing on data governance, pipeline reliability, and mentoring engineers to enhance data accessibility and usability.