Top Business Intelligence Jobs in Tampa, FL

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Build and maintain Databricks data pipelines, ETL/ELT processes, SQL transformations, and Power BI dashboards for HR and People Analytics. Ensure data quality, optimize models and reporting performance, troubleshoot issues, document solutions, and collaborate with HR stakeholders and technical teams to deliver scalable workforce analytics.

Senior Business Intelligence Analyst who develops and governs Power BI dashboards, analyzes clinic performance metrics, ensures reporting accuracy, and translates operational needs into technical requirements. The role manages BI projects end to end, prioritizes analytics tickets, presents insights to executive stakeholders, establishes reporting standards, contributes to data-model requirements, and mentors junior analysts across clinical and corporate operations.

Supports enterprise data governance and business intelligence for NAVSUP by profiling datasets, defining quality rules and business glossaries, validating metadata and lineage, reconciling API data, and tracking remediation. Develops test cases, dashboards, scorecards, reports, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders in Agile environments using Informatica, MuleSoft, Axon, Power BI, Azure DevOps, and AWS GovCloud.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead enterprise data architecture across multiple SaaS products by unifying reporting platforms, data models, and analytics capabilities. Assess current systems, define target-state architecture, establish data governance and quality standards, separate analytical workloads from transactional systems, and develop phased migration roadmaps. Guide database, engineering, and BI teams on cloud platforms, integration, modeling, performance, security, and reliability. Enable trusted cross-product reporting, governed self-service analytics, and data foundations for AI and advanced analytics.

Develop and distribute recurring reports, gather stakeholder requirements, enhance data and reporting capabilities, automate manual processes, analyze KPIs and trends, and present insights to business leaders. Partner with business and technical SMEs on data deep dives, quality improvements, and ad hoc finance and business initiatives. The role requires hands-on Power BI and SQL experience, strong Excel skills, and familiarity with VBA and Python.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.

Leads enterprise business intelligence and data analytics for a U.S. Combatant Command program. Develops Power BI architectures, dashboards, data models, pipelines, KPIs, and reporting products for leadership decision-making. Establishes data governance, quality, provenance, metadata, access controls, and authoritative data sources across classified and unclassified environments. Translates stakeholder decision needs into analytic requirements, evaluates knowledge-management initiatives, supports AI and machine-learning capabilities, documents solutions, trains users, and mentors analysts.

Executes business intelligence and process analysis for an Enterprise Knowledge Management program supporting a U.S. Combatant Command. Maps workflows, identifies information exchange requirements and operational gaps, develops process documentation and user procedures, builds Power BI dashboards, measures process improvement and user adoption, and delivers actionable recommendations through stakeholder interviews, workshops, and data analysis. The role operates across unclassified and classified networks and supports continuous improvement using Lean, Six Sigma, Kaizen, and Agile practices.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Lead Ab Initio developer responsible for architecture, design, data modeling and development of DW/ETL solutions. Deliver end-to-end BI projects, implement data profiling and data quality (ACE/BRE/Express>it), write SQL, source data from disparate systems, support deployments, work in global delivery teams, and collaborate across stakeholders. Banking domain experience; Big Data/Hadoop is a plus.

Lead Ab Initio developer responsible for architecture, design, data modeling and end-to-end ETL/DW implementations. Perform design and architecture reviews, implement data profiling and data quality using ACE/BRE/Express>it, write SQL against databases, and support deployment and SDLC activities. Work in a global delivery environment and liaise with multiple stakeholders.

Design, architect, and develop end-to-end ETL and data warehouse solutions using Ab Initio. Perform data modeling, data profiling, and implement data quality rules with ACE/BRE/Express>it. Work with SQL and databases, source data from disparate systems, support deployment, and participate in design and architecture reviews. Collaborate in global delivery teams, preferably with banking domain experience. Hadoop/Big Data skills are a plus.

Perform business analysis for BI/DWH projects: gather requirements, perform data mapping/gap analysis, analyze data using complex SQL, liaise with clients, apply DWH concepts and basic FS domain knowledge, and support global delivery teams.

Perform business analysis for BI and data warehouse projects: apply DWH concepts, write complex SQL, conduct data analysis and data mapping/gap assessments, liaise with clients, apply FS domain knowledge, and support ER modeling and global delivery teams.

Analyze business requirements and design data warehouse solutions. Perform complex SQL queries, data mapping/gap analysis, ER modeling, and liaise with clients. Apply BI and financial-services domain knowledge to support global delivery.

Perform business analysis for BI and data warehouse projects: apply DWH concepts, write complex SQL, conduct data mapping/gap analysis, engage clients on requirements, use FS domain knowledge, and model entity relationships in a global delivery environment.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Designs, develops, and supports SQL Server databases, SSIS ETL processes, Power BI reports, dashboards, datasets, and analytics platforms. Responsibilities include database administration, performance tuning, data integration, dimensional modeling, data governance, security, reporting standards, and business requirements gathering. The role also supports ERP integrations, data quality initiatives, enterprise analytics, and application enhancement projects while partnering with technical and non-technical stakeholders.