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Analytics Implementation Engineer Jobs in Chicago, IL

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data ...

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data ...

Industrial Engineer

Rosemont, IL · Remote

$68.20K - $92.10K/yr

Define work elements, complete floor observations, analyze data, and implement engineered standards in Distribution Centers (DCs) across the United States * Trend analysis of DCs performance ...

... data engineering concepts, visualization, experimentation, and performance measurement across ... Implement marketing mix modeling (MMM), multi-touch attribution (MTA), incrementality testing ...

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Candidate will join a team supporting the design and implementation of cloud infrastructure for internal analytics zone in collaboration with the Data Platform team, data architects, DevOps, and IT.

... Developers to ensure project delivery is on track. • Facilitate project introduction, kick-off ... analytical skills. • Working knowledge of project planning and project management methods and ...

Senior DevSecOps Engineer

Chicago, IL · On-site

$118K - $161.70K/yr

Benchmark Analytics provides a comprehensive, all-in-one solution that is advancing police force ... Implement and maintain admission control, network policies, and runtime security tooling * Partner ...

Senior DevSecOps Engineer

Chicago, IL · On-site

$118K - $161.70K/yr

Benchmark Analytics provides a comprehensive, all-in-one solution that is advancing police force ... Implement and maintain admission control, network policies, and runtime security tooling * Partner ...

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Analytics Implementation Engineer information

See Chicago, IL salary details

$27

$52

$83

How much do analytics implementation engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for analytics implementation engineer in Chicago, IL is $52.96, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $62.88 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 Chicago, IL? For Analytics Implementation Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Analytics Implementation Engineer jobs in Chicago, IL look for? The top searched job categories for Analytics Implementation Engineer jobs in Chicago, IL are:
Senior Analytics Engineer

Senior Analytics Engineer

Metropolis

Chicago, IL • On-site

$130K - $175K/yr

Full-time

Medical, Life, Retirement

Posted 16 days ago


Job description

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do
  • Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
  • Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
  • Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
  • Manage and optimize DAGs, including troubleshooting task failures and improving run times
  • Implement metadata management, data lineage, and security principles such as least-privilege access
  • Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
  • Partner with engineering, data science, and business stakeholders to own project scopes
  • Mentor others on data best practices to drive impact through your data vision
  • Provide architectural guidance to ensure data is accessible and actionable across the company
  • Drive technical excellence within the data engineering and analytics domain
What we're looking for
  • 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
  • 3+ years of experience with dbt
  • Owned large-scale data projects that drove significant impact through effective cross-functional partnering
  • Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
  • Expert at SQL, window functions, and query optimization for complex data manipulations
  • Applied performance best practices, including partitions, sort keys, and incremental modeling
  • Designed systems using test-driven approaches to ensure data quality and flow integrity
  • Familiarity with ELT processes and tools to prepare and clean data for analysis
  • Skill in using tools like dbt to build data transformation pipelines
  • Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
  • A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.