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Analytics Implementation Engineer Jobs in Arizona

Implement in-database machine learning solutions using SQL Server and R or Python. Ensure security and integrity across all data. Troubleshoot and debug issues. Telecommuting permitted as business ...

Implement in-database machine learning solutions using SQL Server and R or Python. Ensure security and integrity across all data. Troubleshoot and debug issues. Telecommuting permitted as business ...

Solid analytical and problem-solving skills; able to interpret technical or logistical information ... Bachelor's or Associate degree preferred (Healthcare, Business, Biomedical Engineering, Life ...

Analytics Engineer II

Phoenix, AZ · On-site

$96.80K - $132.60K/yr

Implement in-database machine learning solutions using SQL Server and R or Python. Ensure security and integrity across all data. Troubleshoot and debug issues. Telecommuting permitted as business ...

Solid analytical and problem-solving skills; able to interpret technical or logistical information ... Bachelor's or Associate degree preferred (Healthcare, Business, Biomedical Engineering, Life ...

Data Engineering & Analytics * Implementing data pipelines, vector stores, and analytics workloads ... Working with structured and unstructured data sources * Software Engineering * Proficiency in ...

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Analytics Implementation Engineer information

See Arizona salary details

$25

$47

$75

How much do analytics implementation engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for analytics implementation engineer in Arizona is $47.91, according to ZipRecruiter salary data. Most workers in this role earn between $35.87 and $56.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analytics Implementation Engineer, and why are they important?

To thrive as an Analytics Implementation Engineer, you need strong expertise in web analytics, JavaScript, tag management systems, and a background in computer science or a related field. Familiarity with tools like Google Tag Manager, Adobe Analytics, and certifications in analytics platforms are often expected. Attention to detail, problem-solving, and effective communication with stakeholders set top performers apart. These skills are vital for accurately collecting, interpreting, and communicating data to drive business insights and optimize digital experiences.

What are some common challenges faced by Analytics Implementation Engineers when integrating analytics tools across multiple platforms?

Analytics Implementation Engineers often encounter challenges such as ensuring data consistency and accuracy across various digital platforms, dealing with legacy systems that may not easily support modern analytics tools, and navigating frequent updates or changes in website or app architectures. Close collaboration with development, product, and marketing teams is critical to clarify tracking requirements and maintain reliable data flows. Addressing these challenges requires a strong understanding of both the technical aspects of analytics tools and the business needs driving data collection.

What is an Analytics Implementation Engineer?

An Analytics Implementation Engineer is a professional responsible for setting up, configuring, and maintaining digital analytics tools on websites and mobile applications. They work closely with stakeholders to understand business requirements, translate them into technical tracking specifications, and ensure accurate data collection for analysis. Their role often involves deploying tags, managing tag management systems, and troubleshooting data issues. This position requires a combination of technical skills, understanding of marketing analytics, and strong problem-solving abilities.

What is the difference between Analytics Implementation Engineer vs Data Analyst?

AspectAnalytics Implementation EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications in analytics toolsBachelor's in Statistics, Math, or related field; often similar certifications
Work EnvironmentTechnical teams, project-based, focus on system setupBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, the Analytics Implementation Engineer primarily focuses on deploying and integrating analytics tools and systems, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often overlap in skills and certifications but differ in their core responsibilities and work environments.

What are popular job titles related to Analytics Implementation Engineer jobs in Arizona? For Analytics Implementation Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Analytics Implementation Engineer jobs in Arizona look for? The top searched job categories for Analytics Implementation Engineer jobs in Arizona are:
What cities in Arizona are hiring for Analytics Implementation Engineer jobs? Cities in Arizona with the most Analytics Implementation Engineer job openings:

Google Analytics w/ Tag Management

Atria Group LLC

Chandler, AZ

Other

Posted 15 days ago


Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

Technical Skill :-

  • Developing & managing technical solutions through a Tag Management System, preferably Tealium or equivalent
  • Strong development experience using JavaScript, jQuery, OO JavaScript, HTML5, CSS and other (5 years+) which haven't been shared yet to close this requirement at the earliest.
  • Experience in managing, developing and deploying complex JavaScript solutions (5 years+)
  • Min of 2+ years of experience in Google Analytics as a technical lead and/or project management experience
  • Deep understanding & experience using Google Analytics Premium, Google Analytics IQ certification preferred
  • Experience with Google Analytics API's
  • Experience as a technical problem solver identifying innovative solutions
  • The ability to translate Key Performance Indicators (KPIs / Business Requirements) into implementations that provide consistency and scale across multiple websites
  • Deep understanding of how web analytics implementations translate into reporting
  • The ability to do deep-dive analysis to troubleshoot implementation or reporting issues
  • Experience managing complex, large scale, global web analytics implementations across hundreds of websites
  • Experience implementing website optimization/testing code (A/B, multivariate, personalization, etc.), preferably using Adobe Target or equivalent
  • Developing & managing technical solutions through a Tag Management System, preferably Tealium or equivalent
  • Experience with media tagging and data management platform integrations
  • Experience with connected data initiatives to drive integrations across multiple tools, platforms and capabilities
  • The ability to validate & troubleshoot measurement implementations across multiple environments, browsers, and platforms
  • Experience creating technical documentation & training materials
  • Experience with Agile development methodology
Additional Information
  1. Good comm skills are a big priority
  2. Duration: 12+ Months
  3. Candidate must have excellent verbal and written communication skills.