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Digital Analytics Developer Jobs (NOW HIRING)

NVA

Digital Analytics Manager

$108K - $130K/yr

Qualifications Required • 5+ years of experience in digital analytics, marketing measurement, or analytics engineering in a complex, multi-property environment. • Working knowledge of modern ...

ADT

Sr. Manager, Digital Analytics

Boca Raton, FL · On-site

ADT is seeking a Senior Manager, Digital Analytics to lead the evolution from reporting to ... The ideal candidate will oversee analytics engineering and performance platforms that translate ...

1 point system

Digital Analytics Manager

New York, NY · On-site

As the Manager of Digital Analytics, you will play a critical role in helping cross-functional ... A Bachelor's degree in Statistics, Analytics, Computer Science, Economics, Marketing, Engineering ...

Reingold Inc

Digital Analytics Manager

Alexandria, VA · On-site

Design and document digital analytics solutions, working closely with developers, content creators, and outreach specialists to ensure that requirements and dependencies are delivered accurately and ...

Reingold Inc

Digital Analytics Manager

Alexandria, VA · On-site

Design and document digital analytics solutions, working closely with developers, content creators, and outreach specialists to ensure that requirements and dependencies are delivered accurately and ...

Outbox

Manager of Digital Analytics

Los Angeles, CA · On-site

The Outbox AXS group is looking for a Manager of Digital Analytics to develop and evolve the ... This position will interface with product/engineering, marketing, and external clients. Duties ...

Outbox

Manager of Digital Analytics

Los Angeles, CA · On-site

The Outbox AXS group is looking for a Manager of Digital Analytics to develop and evolve the ... This position will interface with product/engineering, marketing, and external clients. Duties

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All JobsDigital Analytics Developer Jobs

Digital Analytics Developer information

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$16

$47

$88

How much do digital analytics developer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for digital analytics developer in the United States is $47.25, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $61.30 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, and why are they important?

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.

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.

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.
More about Digital Analytics Developer jobs
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Digital Analytics Developer jobs near you
Infographic showing various Digital Analytics Developer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $98,272 per year, or $47.2 per hour.
Analytics Developer (Onsite)

Analytics Developer (Onsite)

Futrend Technology, Inc.

Bethesda, MD • On-site

$80K - $110K/hr

Full-time

Posted 23 days ago

Job description

Futrend Technology is seeking an onsite experienced analytics developer to design, develop, and maintain scalable analytics and data solutions that enable data-driven decision-making across the organization. The ideal candidate is technically strong, detail-oriented, and excited about building high-quality analytics solutions that empower business stakeholders. This role reports to Analytics Lead and will collaborate with other technical and business teams across the library.
Responsibilities:
  • Design, build, and maintain scalable data pipelines. Ensure data accuracy, validation, and governance standards.
  • Develop and optimize SQL queries, views, and data models. Support ad-hoc data requests and analysis as needed.
  • Create and maintain dashboards and reports for digital analytics and customer experience data aiming for reporting automation.
  • Manage and maintain data tracking frameworks. Optimize implementation in accordance with new product developments.
  • Conduct server log analysis to identify anomalies, performance issues, and potential data integrity concerns.
  • Collaborate with business stakeholders to translate requirements into technical solutions.
  • Analyze and communicate generated insights on web analytics and customer experience data.
Qualifications:
  • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field, or 3+ years of experience in analytics development
  • Advanced proficiency in SQL with strong understanding of relational database concepts, including data modeling, normalization, and complex SQL joins
  • Experience working with cloud data platforms preferably BigQuery
  • Experience working with web analytics data and implementing digital analytics tracking (Google Analytics, Google Tag Manager)
  • Hands-on experience with at least one BI tool (Power BI, Tableau, etc.)
  • Experience with Python or other scripting languages
  • Experience working with APIs and data integrations
  • Strong problem-solving and analytical thinking
  • Ability to communicate technical concepts to non-technical stakeholders
  • Ability to leverage AI or machine learning tools to enhance analytics

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