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Analytics Implementation Engineer Jobs in Arizona

Sr. Data Analytics Engineer

Phoenix, AZ

$113K - $136K/yr

Model, design, develop, test and implement the appropriate backend and front-end structures needed to meet business visualization and reporting requirements. * Leverage industry-leading integration ...

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... analysis - Implementing neural networks and deep learning methods for advanced AI applications ...

GCP Cloud Analytics Engineer

Tempe, AZ · On-site

$53.50 - $71.25/hr

Supporting full lifecycle implementations across data ingestion, transformation, governance, and ... GCP Cloud Analytics Engineer Data-driven organizations need modern cloud analytics solutions that ...

Implement application monitoring, logging, observability, and production-support practices. * Partner with Product Owners, Architects, Business Analysts, QA, Security, Infrastructure, and DevOps ...

Showing results 21-40

Analytics Implementation Engineer information

See Arizona salary details

$25

$47

$75

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 cities in Arizona are hiring for Analytics Implementation Engineer jobs?

Cities in Arizona with the most Analytics Implementation Engineer job openings:

Sr. Data Analytics Engineer

Phoenix, AZ

Under Armour
Retail • 10K+ employees

$113K - $136K/yr

Full-time

Medical, Retirement

Posted 14 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz


Job description

Sr. Data Analytics Engineer

Sr. Data Analytics Engineer

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on theInternal Career Site Here. (https://performancemanager8.successfactors.com/sf/careers/jobsearch?bplte_company=ua&_s.crb=aNMP8gWoYkBDFn%252bz2BldysgcgQHZpVs6tHzE9smSuXE%253d)

Purpose of Role

  • Provide quality and performant data modeling and visualizations solutions to our cross functional business units which represent the mantra, "Business First; Technology Second."
  • As part of a results-oriented team, participate in the design, implementation, maintenance and support of our modernized data platform to enable the business to make better, more informed decisions.
  • Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide services for the enterprise applications.
  • Model, design, develop, test and implement the appropriate backend and front-end structures needed to meet business visualization and reporting requirements.
  • Leverage industry-leading integration and analytics tools to build a modern data warehouse that is accurate, reliable, high performing and easily accessible to our business departments.
  • Build dashboard to follow wireframes designs, integrate with backend data models. Build aggregate data models. Manage the data flow to reflect in dashboards to meet business requirements.
  • Data formatting and processing to build the foundation layer for dashboards and self-service reporting. Work on data transformation, using the ETL tools. Build dimension views and fact tables.
  • Interact with the client business community to gather/develop functional and technical requirements and translate them into reporting solutions.
  • Responsible for the full life cycle of development, from requirements gathering through data transformation coding and report/dashboard design and creation.
  • Follow development standards in accordance with UA best practices.
  • Work with Enterprise Data Analysts team to clarify functional requirements and create the TSD's.
  • Data formatting and processing to build the foundation layer for dashboards and self-service reporting.
  • Troubleshoot data anomalies with engineering teams.
  • Work on data transformation, using the ETL tools. Build dimension views and fact tables.
  • Responsible for daily support of the data warehouse and associated data marts.
  • Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and access is optimal for our global reporting solutions.
  • Work collaboratively to align business requirements with reporting and analytical solutions.
  • Improve processes regarding data flow and quality to improve data accuracy, viability and value.
  • Document development for peer reference and knowledge transfer.
  • Interact with the client business community to gather/develop functional and technical requirements and translate them into visualization solutions.
  • Educate and empower the business community towards self-serve reporting model.
  • Other duties as assigned within area of responsibility.

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Information Systems or related technical field. Followed by 5 years of progressively responsible experience in a Software Engineering role (e.g. Project Lead, Senior Software Engineer, Software Engineer, etc.).

  • 2 years of experience developing and supporting the SAP HANA, Business Objects, and SAC platform stack to ensure performance, process, access is optimal for the global reporting solution.
  • 2 years of experience in Technical design of Data Modelling for SAC Analytics to Support the ongoing Business requirements formulation process for Enterprise Business Analytics operations.
  • 3 years of experience in design and development of analytical queries, reports and visualizations utilizing the Tableau Platform.
  • 2 years of Experience with dbt as a data orchestration tool.
  • 2 years of experience working in CICD framework.
  • 2 years of experience with Snowflake VWH and data modeling.
  • Demonstrated knowledge* of:
  • HVR replication for data ingestion.
  • Python and Java programming.
  • Fundamental data architecture and design.
  • SQL and strong data transformation.

*Knowledge may be demonstrated through education, training and/or experience

Workplace Location

  • Location: Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and international travel

Sponsorship Eligibility: (US ONLY) UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

Relocation

  • No relocation provided

Base Compensation

$165,564.00 to $188,089.20 per year

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks

  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being

Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law.

Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.

Requisition ID: 166263

Location:

Remote, US

Business Unit:

Region: North America

Employee Class:

Employment Type:

Learn more about our Benefits here


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