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Analytics Implementation Engineer Jobs in Phoenix, AZ

Vultus Inc

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years ... Collaborate with cross-functional teams to support business intelligence and analytics. * Implement ...

Pwc

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 ...

INTEL

Process Integration and Yield Engineer

Phoenix, AZ

$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 ...

INTEL

Process Integration and Yield Engineer

Phoenix, AZ

$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

$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 ...

Axon

Maintenance Engineer II (Onsite)

Mesa, AZ

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

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 ...

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

$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 ...

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Showing results 21-40

All JobsAnalytics Implementation Engineer JobsAnalytics Implementation Engineer Jobs in Phoenix, AZ

Analytics Implementation Engineer information

See Phoenix, AZ salary details

$26

$51

$80

How much do analytics implementation engineer jobs pay per hour?

As of Aug 6, 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?

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:
Analytics Implementation Engineer jobs near you

Data Engineer

Vultus Inc

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Medical, PTO

Posted 28 days ago

Job description

Data Engineer

Location

Hyderabad, India (Hybrid)

Employment Type

Full-Time

Experience

3–7 Years

Salary

₹8 LPA – ₹18 LPA (Based on experience and skills)

Job Summary

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate should have experience working with large datasets, cloud platforms, ETL processes, and data warehousing solutions. You will collaborate with data analysts, data scientists, and software engineers to ensure reliable and efficient data processing.

Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines.
  • Build and optimize data models and data warehouses.
  • Integrate data from multiple sources into centralized repositories.
  • Ensure data quality, consistency, and governance.
  • Optimize SQL queries and improve data processing performance.
  • Work with cloud-based data platforms and big data technologies.
  • Monitor, troubleshoot, and resolve data pipeline issues.
  • Collaborate with cross-functional teams to support business intelligence and analytics.
  • Implement data security and compliance best practices.
  • Document data architecture and technical processes.
Primary Skills
  • Python
  • SQL
  • Apache Spark
  • Apache Kafka
  • ETL/ELT Development
  • Data Warehousing
  • Snowflake
  • Apache Airflow
  • Azure Data Factory (ADF)
  • AWS Glue
  • Databricks
  • Git
Secondary Skills
  • Hadoop Ecosystem
  • Docker
  • Kubernetes
  • Terraform
  • Power BI
  • Tableau
  • Linux
  • CI/CD Pipelines
  • REST APIs
  • Data Governance
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3–7 years of experience in Data Engineering.
  • Strong programming skills in Python and SQL.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Hands-on experience with ETL tools and data pipelines.
  • Strong understanding of relational and NoSQL databases.
  • Knowledge of distributed data processing frameworks.
Preferred Qualifications
  • Experience with Databricks or Snowflake.
  • Cloud certifications (AWS, Azure, or GCP).
  • Experience with streaming platforms like Kafka.
  • Knowledge of DevOps and Infrastructure as Code.
Soft Skills
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration abilities.
  • Ability to work in Agile environments.
  • Good time management and organizational skills.
  • Quick learner with a proactive attitude.
Benefits
  • Competitive salary package
  • Health insurance
  • Performance bonus
  • Flexible work environment
  • Learning and certification support
  • Paid leave and holidays
  • Career growth opportunities
  • Employee wellness programs