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Digital Analytics Developer Jobs in Edgewater, FL

Java Full Stack Developer

Lake Mary, FL · On-site

$46 - $59.25/hr

... analyse results, and coordinate bug fixes to uphold the software quality standards • Develop ... We also empower the business with agile digital at scale to deliver unprecedented levels of ...

... analysis, cloud platforms, and Agile methodologies. • Excellent problem-solving skills and ... digitizing documents. • Familiarity with Microsoft Power Automate. • Knowledge of Oracle and ...

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$90K - $115K/yr

Analyze, troubleshoot, and optimize BI and digital marketing applications to ensure data accuracy and system performance. * Collaborate with a team of data engineers to support business initiatives ...

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$92K - $116K/hr

Analyze, troubleshoot, and optimize BI and digital marketing applications to ensure data accuracy and system performance. * Collaborate with a team of data engineers to support business initiatives ...

Senior Electrical Engineer

Orlando, FL · On-site

$100K - $130K/yr

Our engineering excellence, based in Washington State, Washington D.C., Hamburg, Germany and ... analyzers * Experience with analog, digital, mixed-signal, and power circuit design * Working ...

Showing results 21-40

Digital Analytics Developer information

See Edgewater, FL salary details

$14

$42

$79

How much do digital analytics developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for digital analytics developer in Edgewater, FL is $42.71, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $55.43 per hour, depending on experience, location, and employer.

What is a digital analytics developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

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

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

How does a digital analytics developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

What cities near Edgewater, FL are hiring for Digital Analytics Developer jobs?

Cities near Edgewater, FL with the most Digital Analytics Developer job openings:

Software Developer - Delivery Consultant, Software Engineering Solutions

Deloitte

Lake Mary, FL • On-site

Full-time

Posted 12 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Consultant, Software Engineering Solutions on the team, you will:

  • Build and enhance internal tools, lightweight applications, APIs, and utilities that support research, analytics, and model development workflows
  • Develop production-grade pipelines and automation to improve data processing, workflow execution, and operational handoffs
  • Create integration components that connect data pipelines, repositories, APIs, and supporting applications
  • Automate Git-based repository workflows, version control processes, testing, and developer productivity activities
  • Partner with data scientists, data engineers, and operations teams to translate workflow challenges into practical technical solutions
  • Test, troubleshoot, document, and support analytic applications and workflow utilities through deployment and operational handoff
  • Improve development standards, code quality, deployment reliability, maintainability, and overall supportability of workflow components

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required

  • Bachelor's degree 
  • 2+ years of software engineering or application development experience
  • 2+ years of hands-on Python development experience
  • 2+ years of experience with Git, version control, and repository-based development
  • Experience testing, debugging, and supporting production-oriented applications or utilities
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary or Mechanicsburg) 
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred: 

  • Experience working with APIs, integration patterns, and data workflows
  • Experience supporting analytics, model development, or data pipeline enablement environments
  • Familiarity with healthcare data, healthcare analytics workflows, or regulated data environments
  • Familiarity with federal data or government-adjacent delivery environments
Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Consultant, Software Engineering Solutions on the team, you will:

  • Build and enhance internal tools, lightweight applications, APIs, and utilities that support research, analytics, and model development workflows
  • Develop production-grade pipelines and automation to improve data processing, workflow execution, and operational handoffs
  • Create integration components that connect data pipelines, repositories, APIs, and supporting applications
  • Automate Git-based repository workflows, version control processes, testing, and developer productivity activities
  • Partner with data scientists, data engineers, and operations teams to translate workflow challenges into practical technical solutions
  • Test, troubleshoot, document, and support analytic applications and workflow utilities through deployment and operational handoff
  • Improve development standards, code quality, deployment reliability, maintainability, and overall supportability of workflow components

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required

  • Bachelor's degree 
  • 2+ years of software engineering or application development experience
  • 2+ years of hands-on Python development experience
  • 2+ years of experience with Git, version control, and repository-based development
  • Experience testing, debugging, and supporting production-oriented applications or utilities
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary or Mechanicsburg) 
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred: 

  • Experience working with APIs, integration patterns, and data workflows
  • Experience supporting analytics, model development, or data pipeline enablement environments
  • Familiarity with healthcare data, healthcare analytics workflows, or regulated data environments
  • Familiarity with federal data or government-adjacent delivery environments
Education:Bachelor's DegreeEmployment Type:

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