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Analytics Implementation Engineer Jobs in Phoenix, AZ

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

The Data Engineer plays a critical part in delivering validated, governed, and actionable data ... analytics. * Implement data validation logic to ensure quality, trust, and accuracy in all ...

Your Impact As a Maintenance Engineer, you will help improve equipment reliability, availability ... Experience performing root cause analysis, implementing corrective actions, and improving equipment ...

Design and implement engineering principles aimed at reliability practices and sound recovery ... Support production operations through incident triage, root cause analysis, and continuous ...

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Analytics Implementation Engineer information

See Phoenix, AZ salary details

$26

$51

$80

How much do analytics implementation engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for analytics implementation engineer in Phoenix, AZ is $51.04, according to ZipRecruiter salary data. Most workers in this role earn between $38.17 and $60.62 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, 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 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 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 are popular job titles related to Analytics Implementation Engineer jobs in Phoenix, AZ? For Analytics Implementation Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Analytics Implementation Engineer jobs in Phoenix, AZ look for? The top searched job categories for Analytics Implementation Engineer jobs in Phoenix, AZ are:
Cyber Security Engineer (AI Implementation & Validation)

Cyber Security Engineer (AI Implementation & Validation)

Technologent

Phoenix, AZ

Contractor

Posted 23 days ago


Job description

The Opportunity: We are seeking a Cyber Security Engineer (AI Implementation & Validation) to drive the deployment and validation of AI-powered security capabilities within modern SOC environments. This role focuses on enabling seamless integration of AI-driven tools, ensuring readiness of detection and response workflows, and validating their effectiveness through structured testing and simulation.
The ideal candidate collaborates across multiple technology domains to ensure successful implementation, operational stability, and high-quality outcomes from AI-assisted security operations.
  • Role: Cyber Security Engineer (AI Implementation & Validation)
  • Experience: 3-5 Years
  • Work Location: Phoenix, AZ
  • Project Duration: 12+ Months Contract
Key Responsibilities
  • Support the rollout of AI-enabled SOC solutions, including intelligent assistants and automated response workflows.
  • Coordinate integration of systems, data pipelines, APIs, and required access configurations.
  • Partner with infrastructure, cloud, network, and identity teams to enable connectivity and deployment readiness.
  • Validate detection and response processes supported by AI across investigation and triage scenarios.
  • Design and execute test cases, simulation exercises, and validation scenarios to assess system performance.
  • Identify gaps in integrations, process inefficiencies, and potential operational risks.
  • Assist in diagnosing and resolving deployment challenges and technical issues.
  • Document system architecture, implementation steps, validation outcomes, and operational guidelines.
Required Qualifications
  • Bachelor’s degree in Cybersecurity, Information Technology, or a related field.
  • Minimum 3 years of experience in security engineering, SOC operations, or platform deployment roles.
  • Experience integrating enterprise security tools and technologies.
  • Familiarity with security platforms such as SIEM, SOAR, endpoint protection, and threat intelligence systems.
  • Understanding of networking concepts, APIs, authentication mechanisms, IAM, and cloud platforms.
  • Experience performing validation activities such as security testing, attack simulation, or adversary emulation.
  • Strong troubleshooting, analytical, and documentation skills.
Preferred Qualifications
  • Exposure to AI-driven security tools or automation platforms.
  • Experience working in environments focused on continuous testing and validation of security controls.
  • Familiarity with cross-functional deployments in large-scale enterprise settings.
  • Understanding of modern SOC transformation initiatives.
What We’re Looking For
  • A hands-on professional who excels in implementing and validating complex systems.
  • Someone who can identify issues proactively and drive them to resolution.
  • A collaborative team player comfortable working across multiple technical domains.
  • A detail-oriented individual with strong focus on quality and operational readiness.
  • A clear communicator who can document and explain technical processes effectively.
  • A forward-thinking individual who embraces innovation in AI and cybersecurity. 
Technologent is an Equal Opportunity Employer -- EEO/AA Employer/Vet/Disabled -- for reasonable accommodations, please contact us at hr@technologent.com
Technologent is a Global Provider of Edge-to-Edge℠ Information Technology Solutions and Services for Fortune 1000 and SMB companies. We offer a unique blend of business practices that are aligned to solve for top CIO concerns. Our core competencies focus on data center infrastructure, business continuity, data protection, service automation and orchestration, continuous intelligence, monitoring, connectivity, collaboration and cybersecurity. These practices are supported by our professional services, digital transformation services and financial services offerings. By providing custom solutions and services designed to fit your business needs, we enable your organization to be more agile, responsive and competitive. Technologent empowers your company to ascend to the next level in IT.
Headquartered in Irvine, CA, Technologent has offices throughout the US and proudly serves clients around the world. When partnering with Technologent, organizations benefit from the highest caliber of professionals, committed to delivering exceptional business outcomes backed by unmatched service and support.