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Analytical Engineer Jobs in Florida (NOW HIRING)

We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and ... Strong problem-solving and analytical skills with a focus on building scalable, maintainable data ...

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 ...

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 ...

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 ...

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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 27, 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.
Analytics Engineer, Platform

Analytics Engineer, Platform

Rightway

Miami, FL

$100K - $140K/yr

Full-time

Posted 25 days ago


Job description

ABOUT THE ROLE: 

We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry.

This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems.

You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities.

WHAT YOU’LL DO:

  • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space
  • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence.
  • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models.
  • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs.
  • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability.
  • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability.
  • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability.
  • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability.
  • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation.
  • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows.

WHO YOU ARE:

  • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field.
  • Strong experience with dbt and modern analytics engineering best practices (required).
  • Advanced SQL proficiency and experience developing data transformations and workflows using python.
  • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles.
  • Experience building and maintaining production-grade data models, data quality tests, and documentation.
  • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.
  • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc.
  • Experience working within cloud environments, preferably AWS.
  • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows.
  • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices.
  • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions.
  • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders.

COMPENSATION:  $100,000 - $140,000 annually, in addition to bonus and equity

Compensation offered will be determined by geographic location, experience, and qualifications.

CYBERSECURITY AWARENESS NOTICE

In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment. 

ABOUT RIGHTWAY:

Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient’s care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them.

Since its founding in 2017, Rightway has raised over $200mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global. We’re headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs.

HOW WE LIVE OUR VALUES TO OUR TEAMMATES:

We’re seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our core values:

1) We are human, first
Our humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding.

2) We redefine what is possible
We always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems.

3) We debate then commit
We believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a “yes, and” mentality, and assume positive intent. Once a decision is made, we align and champion it as one team.

4) We cultivate grit
Changing healthcare doesn’t happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity.

5) We seek to delight
Healthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members’ care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members’ success.

Rightway is proud to be an Equal Opportunity Employer that believes in the strength of diverse thought, beliefs, backgrounds, and education. We foster an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis protected by applicable law. All employment decisions are based on merit, qualifications, need, and performance.