Top Data & Analytics Jobs in Palm Bay, FL

Responsible for developing enterprise architecture and modern data platforms, ensuring data governance, quality, security and supporting data-related initiatives across the organization.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

The Senior Digital Strategist & UX Researcher will drive user research and digital strategy for nonprofits, guiding decision-making and delivering actionable insights to clients.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

Own revenue planning, forecasting, and growth/retention modeling for enterprise customers. Build Power BI dashboards and predictive models, manage HubSpot lead-to-cash workflows, coordinate renewals/pricing with Deal Desk, document cross-functional processes, and act as the RevOps SME bridging Sales, Account Management, and Customer Success.

Lead analytics for Community Marketing programs: define measurement frameworks, build Power BI dashboards, run analyses across referrals/events/COI, deliver executive insights, forecast leads/opportunities, and partner cross-functionally to optimize program performance and reporting.

Analyze business problems, translate needs into reporting specifications, build and maintain queries, reports and dashboards, partner with teams to resolve data issues, and support process improvements and BI best practices.