1

Analytics Engineer Jobs in Chicago, IL (NOW HIRING)

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Analytics Engineer

Chicago, IL · On-site

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Analytics Engineer

Glenview, IL · On-site

$75K - $110K/yr

General information Name Analytics Engineer Ref # 2314 City Glenview State Illinois Country United States Function Finance & Accounting Description & Requirements ANALYTICS ENGINEER POSITION OVERVIEW ...

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $160K/yr

The Senior Analytics Engineer is responsible for building and maintaining the core data workflows that support demand planning, supply pacing, and business performance tracking. This role translates ...

BI Analytics Engineer

Chicago, IL

$52.50 - $68.25/hr

Senior Bi Analytics Engineer We are looking for a Senior BI Analytics Engineer with strong expertise in Power BI, Snowflake, predictive analytics, and machine learning development. The ideal ...

Job Summary We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data needs, and translate into technical requirements; * Develop and maintain data pipelines to extract or ...

Lead Analytics Engineer

Algonquin, IL · Remote

$80K - $115K/yr

The Lead Analytics Engineer also provides technical mentorship and guidance to peers, reviewing work for accuracy, and helping elevate the team's overall data maturity. Essential Duties and ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data needs, and translate into technical requirements; * Develop and maintain data pipelines to extract or ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data needs, and translate into technical requirements; * Develop and maintain data pipelines to extract or ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data needs, and translate into technical requirements; * Develop and maintain data pipelines to extract or ...

Sr. Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior Analytics Engineer will develop production-grade data products and help scale AI-enabled decision workflows to enhance decision-making across various departments. Responsibilities : • ...

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife's ambition to create a bestinclass Decision Intelligence (DI) ecosystem. This role will own the ...

Sr. Analytics Engineer

Chicago, IL

$107K - $147K/yr

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife's ambition to create a best‑in‑class Decision Intelligence (DI) ecosystem. This role will own the ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior Analytics Engineer will build and maintain core data workflows that support various teams, ensuring accurate and reliable analytics for decision-making. Responsibilities : • Own end-to ...

Sr. Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife's ambition to create a best-in-class Decision Intelligence (DI) ecosystem. This role will own the ...

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 Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior Analytics Engineer is responsible for building and maintaining the core data workflows that support demand planning, supply pacing, and business performance tracking. This role translates ...

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 Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

The Analytics Engineer leads technical work and projects which enable Home Chef to make more and better data-driven decisions. With the broader team, the engineer is responsible for the creation and ...

next page

Showing results 1-20

Analytics Engineer information

See Chicago, IL salary details

$64.2K

$112K

$182.7K

How much do analytics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for analytics engineer in Chicago, IL is $112,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,653.00 and $125,736.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Chicago, IL? The most popular types of Analytics Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Analytics Engineer jobs? Cities near Chicago, IL with the most Analytics Engineer job openings:
Analytics Engineer

Analytics Engineer

Green Thumb

Chicago, IL • Hybrid

Other

Posted 3 days ago


Green Thumb Industries rating

7.2

Company rating: 7.2 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

5th of 29 rated cannabis dispensaries


Job description

The Role 

You'll build a semantic layer that makes our metrics trustworthy, dashboards that make stakeholders self-sufficient, and training programs that stick. You won't just support analytics; you'll shape how the company thinks with data. You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. 

This is a hybrid role based in Chicago, IL. In office requirement once every 2 weeks at our office in River North. 

Responsibilities 
  • Build clear, accurate Tableau visualizations and data sources that empower stakeholders to explore and understand their data 
  • Design and maintain the semantic layer serving as the single source of truth across all data consumption 
  • Act as the primary analytics point of contact for a line of business, building strong working relationships and ensuring data deliverables align with business priorities 
  • Deliver data and insights to stakeholders through analysis, dashboards, and support of self-service analytical tools including AI agents 
  • Foster an environment of self-service analytics by providing domain and tool expertise  
  • Continuously build business acumen of Green Thumb Industries and the Cannabis industry  
  • Maintain data integrity and governance, ensuring the semantic layer accurate is and complies with relevant data regulations  
Qualifications  
  • 2+ years of experience in analytics engineering, data analysis, business intelligence, data science, or other related fields  
  • Experience with Tableau, Power BI, Sigma, or similar visualization tools  
  • Comfortable writing intermediate to advanced SQL against large data sets (CTEs, window functions, joins, aggregations) 
  • Experience with DBT, Fivetran, Python,  or similar data transformation tools  
  • Familiarity with data orchestration tools such as Airflow and Dagster 
  • A collaborative attitude and the ability to establish partnerships and build consensus  
  • Critical thinking and inquisitiveness coupled with a desire to continuously learn new skills  
  • The ability to have fun at work and foster team connectedness  

Preferred Skills 

  • Experience with DBT building and maintaining SQL-based data transformation pipelines, including writing models, tests, and documentation 
  • Exposure to Snowflake Cortex for leveraging built-in AI/ML functions such as text summarization, sentiment analysis, or LLM-based queries 
Additional Requirements 
  • Must pass any and all required background checks  
  • Must be and remain compliant with all legal or company regulations for working in the industry  
  • Must be a minimum of 21 years of age 

#LI-HYBRID 


What Green Thumb Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom