Top Senior Data & Analytics Jobs in Tampa, FL

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

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.

Analyze state-level actuarial pricing performance for personal auto and home lines, develop metrics and tools, evaluate sub-state profitability, recommend pricing actions, collaborate with product, actuarial, data science, and operations, and improve automation, documentation, and analytics capabilities.

Lead design, implementation, and maintenance of OLTP/OLAP databases, ETL processes, and BI artifacts. Develop and tune SQL code, implement monitoring, enforce coding standards, manage source control, mentor junior staff, and ensure data integrity and security compliance.

Lead OBIEE architect to design and implement OBIA and OBIEE solutions for supply chain, spend, and procurement analytics. Responsibilities include logical and physical data modeling (star/snowflake/normalization), PL/SQL and Informatica ETL development, extracting from Oracle EBS R12, OBIA/DAC administration, creating architecture and technical design documentation, and leading best practices and reporting deliverables.

Design, develop, and test Ab Initio ETL graphs from requirements; create low-level designs and test plans; use SQL, Unix scripting, and schedulers (Autosys/Control-M); apply data warehousing concepts; identify and resolve defects; collaborate with stakeholders.

Design, develop and support ETL/data warehousing solutions using Teradata and Hadoop ecosystem. Build/load/transform data using Teradata utilities, BTEQ, Unix scripts, Hive/Pig/Sqoop, NoSQL, and support SDLC and 24x7 on-call operations.

Lead commercial data and analytics to enable sales effectiveness via CRM (Salesforce/Microsoft Dynamics); deliver behavioral insights, improve client relationship data integrity, develop measurement and data sources, partner with business and tech teams, and build and coach a high-performing team of business analysts.

Lead data quality initiatives across banking lines of business. Own data analysis, remediation, stewardship, and reporting. Resolve complex data issues, manage processes, mentor junior staff, and present status to stakeholders while ensuring regulatory compliance and risk-aware decisions.