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Data Analytics Engineer Jobs in Florida (NOW HIRING)

VHB

Transportation Data Analytics Lead

Orlando, FL · Hybrid

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering Locations: Hybrid work model with flexibility to work from any VHB office within our footprint. Explore our ...

Leidos

Network Operations Analytics Engineer

Tampa, FL · On-site

$92K - $166K/yr

Develop and implement data collection methods: Establish and execute processes to systematically collect key performance metrics throughout each supported mission. Champion operational procedures ...

KLS MARTIN LP

Sr Analytics Engineer (34453)

Jacksonville, FL · On-site

$96K - $132K/yr

... Senior Analytics Engineer is a hands-on technical lead who takes direct ownership of the ... As data platforms increasingly incorporate artificial intelligence, this role drives hands-on ...

JLL

Data Analytics, Technical Director

Orlando, FL · Remote

The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ... Assists platform engineers, account personnel, and external clients with daily workflow ...

Pwc

Finance Data, Analytics & AI - Associate

Miami, FL · On-site

$61K - $100K/yr

Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics ...

WorkNovas LLC

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Data Engineer Remote but inperson interview in Jacksonville, FL Data Engineer plays a critical role ... data is available for analytics, reporting, operations, and decision-making. The ideal candidate ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Florida

Data Analytics Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data analytics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Florida?

The most popular types of Data Analytics Engineer jobs in Florida are:

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

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

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

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

What cities in Florida are hiring for Data Analytics Engineer jobs?

Cities in Florida with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

DATA ANALYTICS & REPORTING MANAGER

Orlando, FL • On-site

One Alliance North America Insurance Company
See more jobs at One Alliance North America Insurance Companyexternal

Other

Posted 12 days ago

Key responsibilities

  • Lead and manage the daily operations of the Data & Analytics team.

  • Own the successful execution of enterprise reporting, dashboards, data products, and engineering initiatives.

  • Support the implementation and operation of OANA's Cortex Data Mesh architecture and manage data product lifecycle.

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

DATA ANALYTICS & REPORTING MANAGER

Full Time Orlando, FL, US

The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise.

This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities.

As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains.

KEY RESPONSIBILITIES

  • Lead and manage daily operations of the Data & Analytics team
  • Conduct regular one-on-one meetings and performance reviews
  • Manage employee performance, coaching, mentoring, and career development
  • Establish workload priorities and resource allocation
  • Support recruiting, interviewing, onboarding, and training activities
  • Develop succession plans and growth opportunities within the team
  • Foster a culture of accountability, continuous improvement, and customer service

Data Delivery & Operational Management

  • Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives
  • Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting
  • Manage data integration efforts, operational support, production incidents, and data quality investigations
  • Monitor team performance against service level agreements and delivery commitments
  • Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development
  • Lead sprint planning, backlog grooming, resource planning, and task prioritization
  • Manage dependencies, identify risks, and maintain stakeholder communication
  • Provide regular status updates to the Director of Data & Software Development
  • Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns
  • Lead incident triage, root cause analysis, escalation management, and resolution tracking
  • Develop preventative action plans and maintain proper monitoring and support processes

Data Product & Data Mesh Operations

  • Support implementation and operation of OANA's Cortex Data Mesh architecture
  • Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance
  • Ensure data products remain aligned with enterprise standards and business requirements

API & Integration Delivery

  • Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite.
  • Manage API backlog, integration prioritization, data contracts, and performance monitoring
  • Support the evolution of Cortex as the enterprise source of truth and integration hub

Stakeholder Management

  • Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations
  • Lead requirement clarification, prioritization discussions, status communications, and issue resolution
  • Escalate strategic decisions and conflicts to the Director.

TECHNICAL RESPONSIBILITIES

The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas:

  • Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores
  • Master Data Management and Data Product architecture

Software Development Practices

  • Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies
  • ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage

Analytics & Reporting

  • Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field
  • 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management
  • 10+ years of Property & Casualty insurance industry experience
  • 3+ years of leadership experience managing technical teams
  • Experience managing both analysts and engineers
  • Experience delivering enterprise reporting and analytics solutions
  • Strong understanding of data architecture principles
  • Experience leading Agile teams and project delivery
  • Strong communication and stakeholder management skills
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