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Analytical Engineer Jobs in Florida (NOW HIRING)

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 ...

New

Sr. Analytics Engineer

Tampa, FL · On-site

$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 ...

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 ...

The ideal candidate needs to be passionate about proper data engineering standards with analytical mindset to drive action through facts and data, possess the ability to effectively organize and ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Recommend data architecture and engineering structures necessary to support reports * Develop new ... Aggregates large data sets in SQL, Python, and other analytical tools for analysis. Develops data ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Recommend data architecture and engineering structures necessary to support reports * Develop new ... Aggregates large data sets in SQL, Python, and other analytical tools for analysis. Develops data ...

This role partners with analytics engineers, BI developers, data scientists, product managers, and business stakeholders to design, build, and scale trusted, analytics-ready datasets, semantic layers ...

We are seeking a highly skilled and analytical Electrical Engineer to join our team. In this role, you will analyze test data requirements, design state-of-the-art sensor and instrumentation ...

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Showing results 1-20

Analytical Engineer information

See Florida salary details

$29.1K

$76K

$102.8K

How much do analytical engineer jobs pay per year?

As of Jul 26, 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 do Analytical Engineers 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.

What are Analytical Engineers?

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 job categories do people searching Analytical Engineer jobs in Florida look for? The top searched job categories for Analytical Engineer jobs in Florida are:
Infographic showing various Analytical Engineer job openings in Florida as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $76,039 per year, or $36.6 per hour.
Sr. Analytics Engineer

$98K - $135K/yr

Other

Posted 2 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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Benefits/Compensation