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Business Intelligence Jobs in Florida (NOW HIRING)

Alivi Health

Director of Business Intelligence

Miami, FL · On-site

$190 - $230/hr

SUMMARY The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all ...

Herita USA

Business Intelligence, Jr Analyst

Miami, FL · On-site

$60 - $80/hr

The Junior Business Intelligence Analyst supports the organization's trade spend and sales analytics functions by managing distributor billback invoices, maintaining invoice tracking and reporting ...

Verizon

Cslt-Business Intelligence

Lake Mary, FL · On-site

You will partner with other internal teams to provide business intelligence through identifying the right data, conducting research and analyses, and providing insights to make recommendations and ...

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Business Intelligence information

See Florida salary details

$22K

$85.4K

$125.2K

How much do business intelligence jobs pay per year?

As of Sep 5, 2026, the average yearly pay for business intelligence in Florida is $85,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $106,500.00 per year, depending on experience, location, and employer.

What is business intelligence?

Business intelligence (BI) refers to the processes, technologies, and tools that organizations use to collect, analyze, and present business data. The goal of BI is to help decision-makers make more informed business choices by turning raw data into actionable insights. This often involves data mining, reporting, dashboards, and predictive analytics. BI professionals work with databases, visualization tools, and statistical methods to support strategic and operational decision-making.

What are the qualifications to get a job in business intelligence?

Qualifications for a career in business intelligence (BI) include a bachelor’s degree in marketing, business administration, or a related field. A strong background in statistics and computer analysis is also desirable, as most of your duties revolve around interpreting the data and creating reports. Computer proficiency is essential to work with the necessary software. Certification isn’t required, but it can improve your chances of getting hired by a company. The Marketing Research Association offers several certificate programs along with advanced learning opportunities in data analysis. Exceptional analytical and organizational skills are imperative. Critical thinking is also vital for interpreting the trends and making sound decisions.

What are the key skills and qualifications needed to thrive as a business intelligence professional, and why are they important?

To thrive as a Business Intelligence professional, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with BI tools like Tableau, Power BI, SQL, and data warehousing systems, along with certifications such as Microsoft Certified: Data Analyst Associate, is highly beneficial. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for interpreting data and presenting insights to stakeholders. These competencies enable BI professionals to transform complex data into actionable strategies that drive informed business decisions.

How does a business intelligence professional typically collaborate with other departments within an organization?

Business Intelligence professionals frequently work cross-functionally, partnering with departments such as marketing, sales, finance, and operations to understand their data needs and provide actionable insights. They often translate business questions into data-driven analyses and present findings in clear, accessible formats. Collaboration may include attending regular meetings, gathering requirements for dashboards or reports, and offering guidance on data interpretation, making strong communication skills essential for success in this role.

What is the difference between Business Intelligence vs Data Analyst?

AspectBusiness IntelligenceData Analyst
Required CredentialsBachelor's in IT, Business, or related fields; certifications like CBIP or Microsoft BIBachelor's in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentBI teams, data warehouses, reporting toolsData sets, spreadsheets, statistical software
Employer & Industry UsageBusiness sectors, analytics teams, IT departmentsMarketing, finance, healthcare, and other sectors requiring data insights

Business Intelligence professionals focus on designing and managing systems that collect, analyze, and visualize data to support strategic decisions. Data Analysts interpret data to identify trends and generate reports. While both roles work with data, BI emphasizes system development and dashboards, whereas Data Analysts focus on data interpretation and insights.

Is business intelligence a good career?

Business intelligence is a growing field that involves analyzing data to support decision-making, often requiring skills in data analysis, SQL, and visualization tools like Tableau or Power BI. It offers opportunities in various industries, competitive salaries, and potential for career advancement, making it a viable career choice for those interested in data and technology.

Is business intelligence still in demand?

Business intelligence professionals are in high demand as organizations increasingly rely on data analysis, visualization tools, and analytics platforms to make strategic decisions. Skills in data warehousing, SQL, and tools like Tableau or Power BI enhance job prospects in this field, which continues to grow with the expansion of big data and digital transformation initiatives.

What are business intelligence jobs?

Business intelligence jobs involve analyzing data to help organizations make informed decisions. Roles typically include data analysts, BI analysts, and BI developers who use tools like SQL, Tableau, or Power BI to gather, interpret, and visualize data for strategic insights.

What is the work of business intelligence?

Business intelligence professionals analyze data to help organizations make informed decisions. They use tools like data visualization and reporting software to identify trends, create dashboards, and support strategic planning. Strong analytical skills and knowledge of databases are essential in this role.
More about Business Intelligence jobs

What are the most commonly searched types of Business Intelligence jobs in Florida?

The most popular types of Business Intelligence jobs in Florida are:

What are popular job titles related to Business Intelligence jobs in Florida?

For Business Intelligence jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Business Intelligence jobs in Florida look for?

The top searched job categories for Business Intelligence jobs in Florida are:

What cities in Florida are hiring for Business Intelligence jobs?

Cities in Florida with the most Business Intelligence job openings:

Business Intelligence jobs near you
Infographic showing various Business Intelligence job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $85,386 per year, or $41.1 per hour.

Director of Business Intelligence

Alivi Health

Miami, FL • On-site

$190 - $230/hr

Other

Re-posted 23 hours ago

Job description

SUMMARY

The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all business functions. This leader provides strategic oversight of Business Intelligence, Data Engineering, Data Governance, and Analytics while partnering with executive leadership to transform enterprise data into measurable business value.

DUTIES & RESPONSIBILITIES Enterprise Data Strategy & Leadership
  • Serve as the enterprise leader for data governance, data quality, data security, and data management best practices.
  • Establish and maintain enterprise data standards, policies, and procedures.
  • Lead a team of BI developers, data engineers, data analysts, and architects.
  • Partner with executive leadership to identify opportunities where analytics can drive operational and financial performance.
  • Develop and manage BI roadmaps, project portfolios, resource planning, and departmental budgets.
Data Warehouse & Data Lake Architecture
  • Develop scalable data platforms capable of integrating structured and unstructured data from internal and external sources.
  • Lead the development of modern ELT/ETL frameworks and data pipelines.
  • Ensure data models support operational reporting, executive dashboards, predictive analytics, and self-service business intelligence.
  • Establish data lineage, metadata management, master data management, and data cataloging standards.
  • Optimize data storage, performance, scalability, and data accessibility across the organization.
Data Engineering & Data Management
  • Direct enterprise-wide data integration initiatives involving financial, operational, clinical, customer, and third-party systems.
  • Ensure the accuracy, completeness, consistency, and reliability of organizational data assets.
  • Implement processes to monitor data quality and proactively resolve data integrity issues.
  • Oversee data migration, transformation, validation, and reconciliation activities.
  • Establish data retention, archival, security, and compliance standards.
  • Evaluate emerging technologies and platforms to improve enterprise data capabilities.
Business Intelligence, Reporting & Self Service Analytics
  • Lead the design, development, and deployment of executive dashboards, scorecards, and interactive reporting solutions.
  • Establish enterprise KPI frameworks and performance management metrics.
  • Develop self-service analytics capabilities using modern BI tools.
  • Ensure dashboards provide actionable insights and support strategic, tactical, and operational decision-making.
  • Partner with business stakeholders to gather requirements and translate business needs into scalable reporting solutions.
  • Continuously improve reporting environments to enhance user experience, adoption, and data accessibility.
Advanced Analytics, Artificial Intelligence & Innovation
  • Guide the development of predictive, prescriptive, and diagnostic analytics solutions.
  • Lead initiatives focused on trend analysis, forecasting, segmentation, profitability analysis, resource optimization, and operational performance.
  • Provide strategic recommendations based on complex analyses and business intelligence findings.
  • Drive organization-wide adoption of data-driven decision-making practices.
  • Present analytical findings and business recommendations to executive leadership and key stakeholders.
Operational and Financial Analytics
  • Support financial performance initiatives through advanced reporting and analytics.
  • Develop enterprise reporting for revenue, profitability, cost management, utilization, productivity, and operational effectiveness.
  • Monitor key performance indicators and identify opportunities for process improvement.
  • Collaborate with Finance, Operations, Compliance, and Business Development teams to support strategic initiatives.
Stakeholder Management
  • Partner with business leaders to identify analytics opportunities and prioritize BI initiatives.
  • Act as a trusted advisor to executive leadership on data strategy and business intelligence matters.
  • Communicate complex technical concepts and analytical findings to both technical and non-technical audiences.
  • Foster a culture of collaboration, innovation, and continuous improvement across the organization.
REQUIREMENTS & QUALIFICATIONS Education
  • Bachelor's degree in computer science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, or related field required.
  • Master's degree preferred.
Experience
  • 8+ years of progressive experience in Business Intelligence, Data Engineering, Data Architecture, Analytics, or related disciplines.
  • 5+ years of leadership experience managing BI, Analytics, or Data Engineering teams.
  • Experience designing and managing enterprise Data Warehouses and Data Lakes.
  • Proven experience leading enterprise-scale data transformation initiatives.
  • Experience supporting executive leadership with strategic reporting and analytics.
Technical Skills
  • Advanced SQL expertise.
  • Data Warehouse Architecture (Kimball, Star Schema, Snowflake Models).
  • Data Lake and Modern Data Platform Architecture.
  • Data Modeling and Database Design.
  • ETL/ELT Development and Data Integration.
  • Microsoft SQL Server, Azure, AWS, Snowflake, Databricks, or equivalent cloud platforms.
  • Data Governance and Master Data Management.
  • Python, R, or other analytics programming languages preferred.
  • Agile project management methodologies.
COMPETENCIES Strategic Leadership
  • Develop long-term data and analytics strategies aligned with organizational goals.
  • Drives enterprise-wide adoption of data-driven decision-making.
Data Architecture & Management
  • Designs scalable and sustainable data environments.
  • Ensures strong governance, quality, security, and accessibility of data assets.
Business Intelligence
  • Translate complex business requirements into impactful dashboards and reporting solutions.
  • Establish meaningful KPIs and performance monitoring systems.
Analytical Thinking
  • Synthesizes complex data into actionable business insights.
  • Identifies trends, risks, opportunities, and operational improvements.
Project & Program Management
  • Leads large-scale cross-functional initiatives.
  • Effectively manages priorities, resources, timelines, and stakeholder expectations.
Communication & Executive Presence
  • Influences decision-making through data storytelling and strategic recommendations.
  • Effectively communicates with executive leadership, board members, clients, and operational teams.
Innovation & Continuous Improvement
  • Champions emerging technologies and modern analytics practices.
  • Continuously improves data platforms, reporting capabilities, and organizational analytics maturity.
HOW WE BEHAVE: CORE VALUES
  • Collaborative- We are friendly, and always ready to lend a hand; We are humble, and willing to admit mistakes; We trust our team and use respectful conflict to make decisions.
  • Entrepreneurial– We are personally committed, and hunger for Alivi's success; We show passion and do more with what we have; We don't give up and always find ways to get the job done.
  • Dynamic– We gladly welcome change; We are smart, and challenge how things are done. We adapt quickly, and readily embrace new roles, and projects.
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