Top Business Intelligence Jobs in Tampa, FL

Own and optimize the enterprise workforce management platform, including forecasting, scheduling, staffing, intraday performance, shift and PTO bidding, and schedule adherence. Analyze workforce and operational data, identify root causes, create trend and productivity reports, model ROI, and recommend staffing improvements. Partner with analytics and operations leaders, mentor real-time analysts and schedulers, and drive efficiency across service and clinical operations.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Develops and supports business intelligence applications, reports, data warehouse solutions, and SQL queries. Responsibilities include requirements analysis, coding, testing, performance tuning, data discovery, source-system connectivity, implementation planning, and technical documentation. The role serves as a BI subject matter expert, mentors team members, manages small projects, and collaborates with cross-functional technology and business teams.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.

Design, build, and support enterprise data platforms for analytics, reporting, and regulatory needs. Develop and optimize database objects and data models, automate data workflows with Python/Perl/Shell, provide Level 3 production support, improve data quality and performance, and leverage AI/LLM tools to enhance automation and analytics while embedding risk and control practices.

Leads marketing metrics, insights, and reporting initiatives across business areas. Provides project and program analytics, PMO governance, data architecture input, campaign performance analysis, A/B testing, SEO/SEM and funnel analytics. Partners with marketing, IT, project teams, and business leaders to develop reporting methodologies, manage complex projects, optimize campaigns, and translate data into actionable recommendations.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

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.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

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.

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 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.

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.

Lead the design, development, optimization, and deployment of enterprise Power BI dashboards, reports, data models, and analytics solutions. Translate stakeholder requirements into actionable insights, develop DAX, Power Query, and SQL solutions, improve performance and scalability, support data modernization, collaborate with offshore teams, establish BI standards, mentor junior staff, and manage risk and controls.

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.