Top Analysis Reporting Jobs in Palm Bay, FL

Conduct client-facing analysis of POS and retail sales data to produce strategic insights. Scope research, write SQL and Python scripts to extract and analyze large datasets, create executive-ready deliverables, and serve as a power user of Bolt to improve and evaluate AI-driven analytics. Partner cross-functionally and manage client expectations throughout projects.

Develop and maintain multichannel forecasts and capacity plans for a contact center, validate data inputs, track forecast performance versus actuals, produce reporting and KPIs, support scenario analysis and SOPs, and partner with operations and BPOs to translate demand into staffing plans and escalate risks.

Manage client data reconciliation projects by establishing broker data connections, preparing and verifying large datasets, troubleshooting broker feeds, responding to inbound client queries via Salesforce ServiceCloud, demonstrating services and identifying cross-sell opportunities, and supporting ad-hoc operational projects to improve team effectiveness.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.

The role involves creating impactful HR technology research, analyzing data governance, engaging clients, and mentoring team members, focusing on AI's influence in HR.

As a Principal Data Scientist, you'll drive data-driven strategies across Growth and Membership Operations, integrating AI tools and managing complex data systems to enhance operational performance.

The Lead Supply Chain Economics Analyst provides analytics support and insights to senior leadership, develops revenue performance metrics, and collaborates with partners to enhance pharmacy network strategies using advanced analytics and AI technologies.

The CX Automation Performance Analyst manages post-launch AI programs, ensuring ongoing performance and optimization, building dashboards, and maintaining documentation.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Design and maintain enterprise data architecture and lakehouse solutions. Lead data migration, integration, governance, and BI enablement. Define strategy, implement pipelines, ensure data quality, security, and provide technical leadership and mentoring.