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Analytical Engineer Jobs in Florida (NOW HIRING)

Axogen

Sr. Analytics Engineer

Tampa, FL

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

Axogen

Sr. Analytics Engineer

Tampa, FL

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

CFS

Analytics Engineer - Finance & BI

Maitland, FL · Hybrid

$120K/yr

... Engineer - Finance & BI Salary: Up to $120,000 Location: Orlando, FL (Hybrid) Why This Opportunity ... Build financial models, analytical datasets, and reporting solutions * Analyze complex data using ...

Axogen

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

CFS

Financial Analytics Engineer

Maitland, FL · On-site

$120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Build analytical datasets, financial models, and reporting solutions that improve business decision ... Support data engineering efforts, including ETL development, pipeline optimization, automation, and ...

CFS

Financial Analytics Engineer

Maitland, FL · On-site

$120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Build analytical datasets, financial models, and reporting solutions that improve business decision ... Support data engineering efforts, including ETL development, pipeline optimization, automation, and ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... analytical tools and techniques * Recognizes the connection between the business operations and ...

Scenthound

Senior Analytics Engineer

Palm Beach Gardens, FL · On-site +1

$98K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sr. Analytics Engineer Company Overview Scenthound is the first membership-based franchise providing affordable and accessible wellness-focused dog care, committed to providing every dog with the ...

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Showing results 1-20

All JobsAnalytical Engineer JobsAnalytical Engineer Jobs in Florida

Analytical Engineer information

See Florida salary details

$29.1K

$76K

$102.8K

How much do analytical engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for analytical engineer in Florida is $76,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $87,100.00 per year, depending on experience, location, and employer.

What is the difference between Analytical Engineer vs Data Scientist?

AspectAnalytical EngineerData Scientist
Required CredentialsBachelor's or Master's in Engineering, Data Analytics, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentEngineering teams, product development, manufacturingData analysis, modeling, research teams
Industry UsageManufacturing, tech, automotive, aerospaceTech, finance, healthcare, e-commerce
Common Search IntentTechnical analysis, process optimizationData modeling, predictive analytics

Analytical Engineers focus on applying engineering principles to analyze and optimize systems and processes, often working closely with product and manufacturing teams. Data Scientists primarily analyze data to extract insights, build models, and support decision-making. While both roles require analytical skills, their focus areas and typical environments differ, making this comparison useful for those exploring career options or job opportunities.

What are the key skills and qualifications needed to thrive as an analytical engineer, and why are they important?

To thrive as an Analytical Engineer, you need a solid background in engineering principles, data analysis, and problem-solving, typically supported by a relevant engineering degree. Proficiency with analytical software such as MATLAB, Python, or finite element analysis (FEA) tools, along with familiarity with industry-specific systems, is essential. Strong communication, critical thinking, and teamwork skills help Analytical Engineers translate complex data into actionable insights and collaborate effectively. These abilities are crucial for developing reliable solutions, optimizing processes, and supporting informed decision-making within technical teams.

How does an analytical engineer typically collaborate with cross-functional teams during a project?

Analytical Engineers frequently work alongside product managers, designers, and software developers to translate business goals into quantifiable metrics and actionable insights. They participate in planning meetings to define project requirements, develop data models, and present analytical findings that inform decision-making. Effective communication and the ability to explain complex data in accessible terms are essential, as Analytical Engineers often bridge the gap between technical and non-technical team members. This collaborative environment fosters a shared understanding of project objectives and helps ensure that solutions align with both technical feasibility and business needs.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary based on experience, location, and industry. They often have skills in SQL, data modeling, and tools like dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

Are analytical engineers in demand?

Analytical engineers are in high demand across industries such as manufacturing, technology, and energy due to their expertise in data analysis, process optimization, and system modeling. Employers seek professionals skilled in tools like MATLAB, Python, and data visualization, often requiring a strong background in engineering principles and certifications. The role offers growth opportunities as companies increasingly rely on data-driven decision-making.

What is an analytical engineer?

Analytical Engineers are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex engineering problems. They often work on developing models, simulations, and analytical tools to improve product design, optimize processes, or predict system behaviors. Their role bridges the gap between data analysis and traditional engineering, enabling more data-driven decision making within engineering projects.

What are popular job titles related to Analytical Engineer jobs in Florida?

For Analytical Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Analytical Engineer jobs in Florida look for?

The top searched job categories for Analytical Engineer jobs in Florida are:

Analytical Engineer jobs near you
Infographic showing various Analytical Engineer job openings in Florida as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $76,039 per year, or $36.6 per hour.

Sr. Analytics Engineer

Axogen

Tampa, FL

$98K - $135K/yr

Full-time

Posted 20 days ago

Job description

Job Summary of the Sr. Analytics Engineer

The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI framework, and BI architecture supporting Commercial, Finance, Operations, and Executive reporting.

This role partners with Business Analysts, Finance Business Partners, Commercial Operations, FP&A, and IT to ensure consistent metric definitions, scalable reporting, and high-quality decision support. The ideal candidate has deep expertise in dimensional modeling, DAX, semantic layer design, performance optimization, Power BI, and Microsoft Fabric best practices.

Requirements of the Sr. Analytics Engineer

  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Engineering, or a related field.
  • Minimum 5 years of experience in Business Intelligence, Analytics Engineering, Data Modeling, or a related role.
  • Advanced experience developing enterprise Power BI solutions, including semantic models, reports, dashboards, and
  • governed datasets.
  • Expert-level DAX development experience and strong understanding of calculation logic, reusable measures, and KPI frameworks.
  • Strong understanding of dimensional modeling, data warehousing, and semantic layer design.
  • Strong SQL skills and working knowledge of relational database structures.
  • Experience working with Finance, Commercial Analytics, Sales Operations, or Business Intelligence functions.
  • Excellent communication, stakeholder management, documentation, and problem-solving skills.
  • Ability to manage multiple projects and priorities in a fast-paced environment.

Preferred Qualifications

  • Experience with Microsoft Fabric, Power BI Premium, or enterprise Power BI deployment models.
  • Experience with Tabular Editor, calculation groups, model scripting, or related tabular model development tools.
  • Experience with Azure DevOps, Git, PBIP, CI/CD, and deployment pipelines.
  • Experience designing enterprise semantic models and KPI governance frameworks.
  • Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures.
  • Experience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or Operations reporting.
  • Relevant medical device or biopharma experience a plus.

Responsibilities of the Sr. Analytics Engineer

The specific duties of the Sr. Analytics Engineer include but are not limited to:

Semantic Model Ownership

  • Own and maintain enterprise Power BI semantic models supporting Commercial, Finance, Operations, and Executive
  • reporting.
  • Design and manage model architecture including fact tables, dimensions, hierarchies, relationships, perspectives,
  • metadata, and security.
  • Establish semantic model standards, naming conventions, and governance practices.
  • Define and document KPI calculations, business rules, and reporting definitions.

DAX Development & KPI Governance

  • Develop and maintain advanced DAX measures, calculation groups, and reusable business logic.
  • Partner with business stakeholders to translate requirements into governed metric definitions.
  • Ensure KPI consistency across Power BI reports, dashboards, and self-service analytics.
  • Support complex financial, sales, territory, commission, pricing, and operational reporting requirements.

Performance Optimization

  • Optimize semantic models for scalability, refresh performance, query speed, and usability.
  • Identify opportunities to reduce model complexity, improve maintainability, and eliminate duplicate logic.
  • Troubleshoot performance bottlenecks and implement best practices in model design.
  • Support migration of BI assets to Microsoft Fabric/Databricks and enterprise semantic model architecture.

BI Development & Reporting

  • Build and enhance enterprise Power BI datasets, reports, and dashboards.
  • Support thin-report architecture and self-service analytics initiatives.
  • Collaborate with Business Analysts and Finance Business Partners on reporting solutions.
  • Assist in development of executive, commercial, operational, and financial reporting.

Governance & Deployment

  • Support BI governance, change management, documentation, and release-management processes.
  • Manage semantic model version control, testing practices, deployment pipelines, and production release standards.
  • Utilize Git, Azure DevOps, PBIP, Tabular Editor, and Fabric development frameworks, as applicable.
  • Maintain technical documentation, model inventories, and change logs.
  • Implement Row-Level Security (RLS), security modeling, data governance controls, and change-management processes.

Location

111 West Oak Ave., Tampa, FL  33602

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