Top Business Intelligence Jobs in Tampa, FL

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Develop and implement BI solutions using Oracle BI, QlikView, and Spotfire. Build data pipelines, validate data quality, perform analysis, collaborate with stakeholders, support data architecture, and apply economic analysis to inform client strategies.

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 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.

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

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 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, 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 administration and architecture of enterprise BI platforms (Looker, Quicksight, Power BI). Build automation, CI/CD pipelines, data models and ETL, integrate tooling and SSO, monitor platform health, mentor team members, and provide production/on-call support for large-scale BI environments.

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.

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

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.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Build and maintain a scalable BI and reporting platform using ClickHouse and Python ETL. Design dimensional models and reporting marts, optimize queries, create dashboards, support data pipelines from Elasticsearch, SQL Server, APIs and files, and add AI-enabled reporting features and developer tooling for analytics workflows.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.