Top Senior Data & Analytics Jobs in Tampa, FL

Analyze customer and item-level pricing and margins, manage Corporate Multi-Unit and local contract bids and order guides, recommend price and margin improvements to purchasing and sales, review daily margin and market reports, and assist leadership with queries/reports to grow profitability.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar formats and SQL, and consult stakeholders to translate business goals into data architecture roadmaps using Spark, Snowflake, and AWS/GCP.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

Design, develop, and support enterprise BI applications, dashboards, and reports. Integrate BI platforms with data warehouses and enterprise systems, troubleshoot production issues, analyze data quality and performance, and mentor junior engineers. Collaborate with stakeholders to gather requirements and ensure maintainable, well-documented code and on-time delivery.

Lead strategy, architecture, and team oversight for the institution's clinical research data warehouse. Align data assets with research and institutional goals, govern common data models (OMOP/PCORnet), enable FHIR/APIs and AI/ML-ready datasets, oversee ETL from Epic (Clarity/Caboodle/Cosmos), support faculty research and grant deliverables, manage staff, and operate within a federal recharge center framework.

Design and govern enterprise data architecture, optimize DBMS performance and recovery/load strategies, lead database design for enterprise systems, conduct data analysis and access design, and mentor junior staff while serving as project SME.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

Lead and own the companys SQL Server data warehouse, replication, ETL/ELT pipelines, and Power BI analytics. Design relational models, optimize performance, establish data governance, and partner with business teams to deliver accurate, scalable reporting and semantic models.