Top Business Intelligence Jobs in Tampa, FL

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.

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.

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.

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.

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.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

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.

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.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

Lead technical ownership of the SQL Server data warehouse, replication architecture, ETL/ELT pipelines, and Power BI analytics. Design scalable relational models, optimize SQL Server performance, build and maintain semantic models and reports, establish data governance, and translate business needs into reliable, actionable reporting solutions across departments.

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.

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.

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.

Own and operate the Microsoft Fabric and Power BI platform end-to-end: administer tenants, capacities, OneLake, and governance; build secure data integration pipelines and access layers for BI and AI agents; automate CI/CD and platform operations; enforce security and data governance; and translate business requirements into technical designs while liaising between IT, security, and business stakeholders.

Lead and administer enterprise BI platforms (Looker, QuickSight, Power BI); design architectures, automate admin tasks and CI/CD with Jenkins, Git and APIs; build ETL/data models (Kimball), integrate with databases (Snowflake, Oracle, DB2, SQL Server), implement SSO/security (AD, Azure AD, PingFederate, OAuth/SAML), monitor platform health, train users, provide on-call production support, and mentor the team.

Design, develop, and maintain Power BI dashboards and enterprise reporting. Build scalable data models and DAX/Power Query transformations, write and optimize SQL, support Power BI deployments, improve performance, and partner with stakeholders and offshore teams to deliver analytics and data modernization initiatives while following risk and control practices.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Support FP&A and BI with Power BI reporting, semantic model maintenance, forecasting and S&OP analytics, KPI/DAX development, data transformation, and cross-functional analytics for demand, inventory, and operational performance.

Entry-level BI developer supporting healthcare analytics: build reports and dashboards (Power BI, Epic, Workday), assist ETL and data validation, follow Agile practices, collaborate with stakeholders, maintain source control, and support senior developers in troubleshooting and data storytelling.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.