Top Business Intelligence Jobs in Tampa, FL

Leads end-to-end qualitative and quantitative research projects, selecting methodologies, analyzing member and customer insights, identifying industry trends, and translating findings into actionable business recommendations. Partners with cross-functional teams and vendors, presents insights to leadership, mentors peers, and ensures research activities comply with risk and regulatory standards. The role requires advanced research, analytics, reporting, data visualization, and stakeholder-influence skills.

Designs, develops, tests, and supports business intelligence applications and reporting tools. Responsibilities include advanced SQL development, data discovery, data warehouse integration, ETL/ELT solutions, query performance tuning, data quality controls, and healthcare data feeds. Collaborates with cross-functional technology teams, manages small projects, mentors developers, performs code reviews, and serves as a subject matter expert for BI applications.

The Data Architect defines enterprise data architecture strategy, standards, and best practices. Responsibilities include designing data platforms, warehouses, models, pipelines, BI and analytics solutions; evaluating database, cloud, big data, and BI technologies; promoting governance and trusted data; partnering with stakeholders and technical teams; identifying improvements; and mentoring teams and business users.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

The Business Intelligence Analyst transforms commercial, financial, CRM, and operational data into actionable insights. Responsibilities include developing governed Power BI dashboards, analyzing performance and process gaps, improving CRM and data quality, defining KPI standards, validating data, facilitating stakeholder workshops, and tracking measurable business improvements. The role partners with business leaders, process owners, and enterprise IT across the Americas.

Develop and deploy business intelligence applications for a U.S. Air Force financial platform across development, testing, integration, and production environments. Design and optimize Informatica ETL pipelines, Oracle databases, SQL and PL/SQL processes, data warehouses, BI semantic layers, and SAP integrations. Support Agile delivery, budgeting integrations, monitoring, interface changes, and security hardening. The role also requires Oracle APEX, WebLogic, HTTP Server, performance tuning, and collaboration on data-related issues.

Develop and maintain BI reports, dashboards, databases, stored procedures, and data systems using Microsoft SQL Server and SSRS. Query, cleanse, migrate, and analyze data, identify anomalies, resolve inconsistencies, and provide recommendations supporting attorney practice groups. The role also provides technical guidance to junior BI developers, supports data quality and infrastructure, and handles ad hoc reporting requests and special projects.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Leads business intelligence, reporting, analytics, and project delivery initiatives. Partners with stakeholders and technical teams to gather requirements, define reporting solutions, manage timelines and risks, validate data and outputs, maintain dashboards, support testing and implementation, and identify process improvements. Uses complex data analysis, business process evaluation, and reporting expertise to improve operational performance, leadership decision-making, governance, automation, and consumer experiences.

The BI Analyst develops dashboards, reports, and visualizations; gathers business requirements; performs ETL and SQL-based data analysis; ensures data quality and governance; identifies trends and anomalies; provides recommendations; and trains users on BI tools and reports.

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

Develops self-service BI tools, data sources, data marts, and interactive visualizations using Tableau or Power BI. Partners with clinical and operational leaders to translate information needs into actionable insights. Combines data from warehouses, lakes, and external sources; supports ETL, validation, data governance, platform maintenance, security access, and compliance. Trains and mentors analytics team members while ensuring BI assets are accurate, trusted, secure, and effectively maintained.

Build and maintain reporting suites, dashboards, analytical models, and quantitative analyses that support business decisions. Partner with leaders across Operations, Risk, Servicing, Finance, Product, and Sales to investigate complex questions, generate actionable insights, and identify growth opportunities. Collaborate with data engineers to ensure accurate data delivery while managing multiple cross-functional projects and communicating findings through clear, persuasive narratives.

Build and maintain Tableau dashboards, KPIs, reports, forecasts, and business analyses for Customer Success, Marketing, and Sales. Query and validate cloud warehouse data using SQL, partner with Analytics Engineering on data models and quality, and translate stakeholder questions into actionable insights. Support self-service analytics, AI-enabled tools, documentation, training, and governance while analyzing pipeline, campaign performance, retention, churn, revenue, and customer data.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Leads business intelligence and database analysis to generate revenue insights, solve complex business problems, optimize digital performance, support sales and marketing initiatives, and develop predictive data products. The role requires advanced SQL analysis across large data warehouses, Tableau and web analytics reporting, data validation, executive presentations, and leadership of junior staff.

Build and maintain business intelligence models, dashboards, reports, and compensation analyses for shelter, breeder, and sales channels. Support insurance regulatory reporting, ad hoc analytics, data quality, governance, automation, and performance tuning. Partner with data engineering, compliance, and business teams to improve enterprise data models and enable AI-driven initiatives.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.