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Bi Developer Jobs in Miami, FL (NOW HIRING)

... and BI implementations by providing proven and experienced consultants to our clients. Our ... GIS Developer Location: Miami, FL Estimated Duration: 6-12 months with possible extension. Start ...

IT/DevOps Engineer

Fort Lauderdale, FL · On-site

$50.50 - $69/hr

Power BI and/or PerformancePoint * Microsoft Azure (Intermediate / 2+ Years) * SQL Databases, App Insights, Stream Analytics and Machine Learning * Networking / Infrastructure (Intermediate / 2+ ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... BI. Looking for persons who have created presentations and Dashboards. We are not looking for ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Miami, Florida, Onsite Role Our client has an immediate need for a Data Engineer who is responsibe for supporting the companies BI structure using Data Science, AI and M/L in a Power BI and ...

Perform other functions and/or duties as assigned by the Automation Team Lead or VP, BI ... Programming: Advanced scripting skills in Python (Pandas, NumPy, Scikit-learn) and R. * Databases:

Showing results 41-60

Bi Developer information

See Miami, FL salary details

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How much do bi developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for bi developer in Miami, FL is $51.45, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $58.85 per hour, depending on experience, location, and employer.

Is business intelligence in high demand?

Business intelligence (BI) developers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data analysis, SQL, and BI tools like Tableau or Power BI are highly sought after, and employment opportunities are expected to grow as organizations prioritize analytics and reporting capabilities.

What are the key skills and qualifications needed to thrive as a BI developer?

To thrive as a BI Developer, you need expertise in data modeling, SQL, and data warehousing concepts, often supported by a bachelor’s degree in computer science or a related field. Proficiency with BI tools such as Power BI, Tableau, or SSRS, as well as experience with ETL processes and possibly certifications like Microsoft Certified: Data Analyst Associate, is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business needs into actionable insights. These skills and qualifications enable BI Developers to deliver accurate reporting and analytics that drive informed business decisions.

What is a BI developer?

A business intelligence (BI) developer takes data and turns it into knowledge that a business or organization can use to carry out its goals. Their job is to use their data analysis skills and technical experience to develop solutions to problems, create technical reports, and make recommendations. By creating a data model or using other analytical tools, these developers can help increase productivity, provide improvements, or cut costs.

What are some key challenges BI developers face when integrating data from multiple sources?

BI Developers often encounter challenges such as data inconsistency, varying data formats, and duplicate records when integrating data from different sources. Ensuring data quality and accuracy requires strong ETL (Extract, Transform, Load) skills and attention to detail. Collaborating closely with database administrators and business analysts is crucial to understand data structures and business requirements, which helps in designing effective data integration solutions. Overcoming these challenges not only improves reporting accuracy but also enhances decision-making across the organization.

What is the difference between Bi Developer vs Data Analyst?

AspectBi DeveloperData Analyst
Required SkillsSQL, ETL, BI tools (Power BI, Tableau), data modelingSQL, Excel, data visualization, statistical analysis
Work EnvironmentBusiness intelligence teams, IT departmentsData teams, business units, consulting firms
CertificationsPower BI, Tableau certifications, SQL certificationsMicrosoft Excel, SAS, Tableau certifications
Industry UsageDeveloping dashboards, reporting solutionsData interpretation, reporting, insights generation

While both Bi Developers and Data Analysts work with data and reporting tools, Bi Developers focus on creating and maintaining business intelligence solutions like dashboards and data models. Data Analysts primarily interpret data, generate reports, and provide insights to support decision-making. The roles often overlap but differ in technical focus and scope.

What are the most commonly searched types of Bi Developer jobs in Miami, FL? The most popular types of Bi Developer jobs in Miami, FL are:
What are popular job titles related to Bi Developer jobs in Miami, FL? For Bi Developer jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Bi Developer jobs? Cities near Miami, FL with the most Bi Developer job openings:
Infographic showing various Bi Developer job openings in Miami, FL as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 50% In-person, 17% Hybrid, and 33% Remote job distribution, with an average salary of $107,009 per year, or $51.4 per hour.

Director of Business Intelligence

Alivi Health

Miami, FL • On-site

Full-time

Posted 24 days 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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