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Analytics Implementation Engineer Jobs in Arizona

Talon Analytics

Sr Software Engineer

Tucson, AZ · On-site

$105K - $138K/yr

Talon has an office in Tucson, AZ that is providing high fidelity computational models/analysis and ... As part of the TEE software team, you'll design and implement robust Windows-based applications ...

Intel

Process Integration and Yield Engineer

Phoenix, AZ · On-site

$147K - $188K/yr

Join Intel as a Process Integration and Yield Engineer, where you will play a pivotal role in ... By conducting comprehensive failure analysis, implementing continuous improvement initiatives, and ...

Intel

Process Integration and Yield Engineer

Phoenix, AZ · On-site

$155K - $188K/yr

Join Intel as a Process Integration and Yield Engineer, where you will play a pivotal role in ... By conducting comprehensive failure analysis, implementing continuous improvement initiatives, and ...

Intel

Process Integration and Yield Engineer

Phoenix, AZ · On-site

$175K - $198K/yr

Join Intel as a Process Integration and Yield Engineer, where you will play a pivotal role in ... By conducting comprehensive failure analysis, implementing continuous improvement initiatives, and ...

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All JobsAnalytics Implementation Engineer JobsAnalytics Implementation Engineer Jobs in Arizona

Analytics Implementation Engineer information

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$47

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How much do analytics implementation engineer jobs pay per hour?

As of Sep 13, 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 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 are the key skills and qualifications needed to thrive as an analytics implementation engineer?

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 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:

Analytics Implementation Engineer jobs near you

Sr Software Engineer

Tucson, AZ • On-site

Talon Analytics
See more jobs at Talon Analyticsexternal

$105K - $138K/yr

Part-time

Retirement

Re-posted 23 days ago

Job description

Talon is a small business engineering firm providing innovative, end-to-end, rapid-turn solutions to our government and commercial clients. Founded in 2019, Talon employs over 150 Aerospace and Defense engineers and other support staff to solve complex engineering problems for a variety of applications to include aircraft, ballistics, cybersecurity, motorsports, armor development, biological systems, missiles, and warheads. Talon has an office in Tucson, AZ that is providing high fidelity computational models/analysis and technical services support to Fortune 500 companies.

Join the Test Equipment Engineering (TEE) team, where innovation meets hands-on development. TEE is a multi-disciplinary organization providing advanced test solutions that support the entire missile product lifecycle-from initial engineering and verification through production and sustainment.

As part of the TEE software team, you'll design and implement robust Windows-based applications used across engineering labs, production lines, and fielded environments. You'll work with state-of-the-art technologies to build integrated software systems that support some of the most advanced weapon systems in the world.

Key Responsibilities:

  • Design, develop, and integrate object-oriented software applications using C# and C++ within Microsoft Visual Studio on a Windows OS platform.
  • Create libraries, drivers, and tools that interface with test equipment instrumentation.
  • Translate technical requirements into functional software solutions supporting engineering and production environments.
  • Work both independently and collaboratively in multi-disciplinary teams, contributing across the full engineering lifecycle.
  • Troubleshoot and support test systems in on-site factory environments to ensure reliable operation and performance.

Required Qualifications:

  • Bachelor's degree in STEM (Science, Technology, Engineering, or Mathematics) and a minimum of 5 years of relevant experience, OR an advanced degree with 3+ years of experience.
  • Proficiency in C#, C++, Java, Python, or Visual Basic for software development and integration.
  • Experience working in Microsoft Visual Studio on Windows Operating Systems.
  • Strong troubleshooting skills, especially in support of test systems and hardware integration.
  • Active and transferable U.S. government-issued security clearance required prior to start date.

What We Offer

  • Competitive salary and benefits package, including 401k
  • Opportunities for professional development and career advancement.
  • A collaborative work culture focused on innovation and work-life balance.

Additional Details:

  • Occasional travel may be required.
  • Strong communication and collaboration skills are essential for success in a multi-disciplinary team environment.

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