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Data Analytics Engineer Jobs in Illinois (NOW HIRING)

Analytics Engineer

Glenview, IL · On-site

$75K - $110K/yr

This Analytics Engineer will help the team create, maintain, improve, and implement data models, dashboards, ad hoc analyses, and metrics that touch departments across the organization. We're looking ...

Sr. Analytics Engineer

Chicago, IL · On-site

$107.70K - $147.90K/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 : • ...

Sr. Analytics Engineer

Chicago, IL · On-site

$107.70K - $147.90K/yr

Sr. Analytics Engineer Chicago, Illinois, United States fairlife, LLC is a Chicago-based nutrition ... This role will own the development of production-grade data products (domain models, governed ...

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife ... This role will own the development of productiongrade data products (domain models, governed ...

Sr. Analytics Engineer

Chicago, IL

$107.60K - $147.80K/yr

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife ... This role will own the development of productiongrade data products (domain models, governed ...

Senior Analytics Engineer

Chicago, IL · On-site

$93K - $120K/yr

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused ...

Sr. Analytics Engineer

Chicago, IL · On-site

$107.60K - $147.80K/yr

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife ... This role will own the development of production-grade data products (domain models, governed ...

Sr. Analytics Engineer

Chicago, IL

$107.60K - $147.80K/yr

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife ... This role will own the development of production‑grade data products (domain models, governed ...

Work under the direction of the Manager of Data Analytics to assure corporate architecture ... and Data Engineering solution Employ a variety of languages and tools to integrate and automate ...

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 ...

Senior Analytics Engineer

Chicago, IL · On-site

$93K - $120K/yr

Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused on ...

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused ...

Manages and leads a team of data analysts, engineers, business intelligence specialists, and innovation experts to deliver high-quality, data-driven solutions, while overseeing ongoing support.

The Analytics Engineer leads technical work and projects which enable Home Chef to make more and ... Create processes to ensure data quality and cleanliness throughout the pipeline * Utilize business ...

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Showing results 1-20

Data Analytics Engineer information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do data analytics engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for data analytics engineer in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Illinois? The most popular types of Data Analytics Engineer jobs in Illinois are:
What are popular job titles related to Data Analytics Engineer jobs in Illinois? For Data Analytics Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Illinois look for? The top searched job categories for Data Analytics Engineer jobs in Illinois are:
What cities in Illinois are hiring for Data Analytics Engineer jobs? Cities in Illinois with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Illinois as of May 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,698 per year, or $60.4 per hour.
Sr Industrial Analytics Engineer

Sr Industrial Analytics Engineer

Worthington Industries, Inc.

Chicago, IL • On-site

$42.75 - $58.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Tempel is looking to add a Senior Industrial Analytics Engineer to our team! The Senior Industrial Analytics Engineer will play a key role in building and scaling Tempel's analytics foundation across manufacturing, quality, supply chain, and corporate functions. This role focuses on transforming data from disparate and legacy systems into trusted, analytics-ready datasets, standardized business metrics, and automated reporting solutions.

Working closely with business stakeholders, Digital, and IT, this individual will help deliver consistent, actionable insights that improve visibility into performance and drive measurable improvements in quality, throughput, cost, and service. This role also supports the broader data and AI strategy by enabling scalable, well-structured analytical assets.

Tempel is a global leader in precision magnetic steel laminations for motors, generators, and transformers. Our commitment to innovation, quality, and customer service has made us a trusted partner in industries such as automotive, industrial, and renewable energy. At Tempel, we foster a team-oriented culture with opportunities for development and career growth.

If you're still wondering why you should join our team, here's a quick list of reasons:

  • Competitive pay

  • Benefits start Day 1 - including medical, dental, vision, life insurance, and 401(k) (with company contribution and employee match)

  • Performance-based pay increases

  • Tuition reimbursement

  • Paid vacation and holidays

  • Work with a team that values safety, innovation, and continuous improvement

Location & Work Authorization:

  • We are open to candidates located in either the Chicago, IL or Columbus, OH area for this hybrid position. Candidates must reside within a commutable distance to one of these locations or be willing to self-relocate at their own expense prior to employment.

  • Please note: Tempel does not provide relocation assistance or employment visa sponsorship for this position now or in the future. Candidates must be legally authorized to work in the United States without current or future sponsorship requirements.

  • Hybrid work arrangements are subject to business needs and require regular in-office collaboration.

Responsibilities:

  • Build and maintain analytics-ready datasets by integrating data from ERP, quality, and other operational systems 

  • Design and develop reusable data models, curated datasets, and standardized business logic 

  • Define and govern KPI and metric definitions across key functional areas 

  • Develop dashboards, scorecards, and reporting solutions that deliver actionable insights to business and operations teams 

  • Automate recurring reporting and data processes to improve efficiency and reliability 

  • Partner with stakeholders to understand business needs and translate them into scalable analytics solutions 

  • Support advanced analytics use cases (e.g., forecasting, trend analysis, root-cause analysis) through well-structured data 

  • Document data transformations, definitions, and lineage to support transparency and reuse 

  • Collaborate with Digital, IT, and external partners to align with enterprise data and governance standards 

  • Identify opportunities to improve data accessibility, analytics efficiency, and business performance

Desired Experience:

  • Bachelor's degree in Data Analytics, Computer Science, Engineering, Information Systems, or related field 

  • 5-8+ years of experience in analytics engineering, business intelligence, or data-related roles 

  • Strong experience working with complex or legacy data environments, preferably in manufacturing or industrial settings

  • Proven ability to deliver analytics solutions that drive business value

Technical Skills:

  • Strong proficiency in SQL 

  • Experience with Python or similar tools for data transformation and analysis 

  • Experience with BI and visualization tools (e.g., Power BI, Tableau) 

  • Experience with ERP, quality systems, or operational data sources preferred

Core Competencies:

  • Strong data modeling and analytics engineering capabilities 

  • Ability to translate business needs into practical analytical solutions 

  • Strong problem-solving and attention to detail 

  • Effective communication with both technical and non-technical stakeholders 

  • Collaborative mindset with cross-functional teams 

  • Continuous improvement and learning orientation

Work Environment:
This position requires approximately 20% travel, including both domestic and international travel

About Us:
Hesitant to apply because you may not meet every specific requirement? If this role interests you, we encourage you to apply! At Tempel, we are dedicated to building a diverse and inclusive workplace. We recognize that individuals with diverse experiences and backgrounds are essential to our success. You may be the perfect candidate for this role or another within our organization.

Tempel is an equal employment opportunity employer. Qualified applicants are considered regardless of race, color, religion, age, national origin, sex, disability, or veteran's status.

Compensation is commensurate with experience and may vary within the posted range:

$83,000-$120,000

Hesitant to apply because you may not meet every specific requirement? If this role is something you are interested in, but your previous experience doesn't exactly align, we encourage you to apply! At Worthington Steel we are dedicated to building a diverse and inclusive workplace. We recognize that individuals with diverse experiences and backgrounds are essential to our success. You may be the perfect candidate for this role or others within our organization.


Worthington Steel (NYSE:WS) is a metals processor that partners with customers to deliver highly technical and customized solutions. Worthington Steel's expertise in carbon flat-roll steel processing, electrical steel laminations and tailor welded solutions are driving steel toward a more sustainable future.

 

As one of the most trusted metals processors in North America, Worthington Steel and its 4,600 employees harness the power of steel to advance our customers' visions through value-added processing capabilities including galvanizing, pickling, configured blanking, specialty cold reduction, lightweighting and electrical lamination. Headquartered in Columbus, Ohio, Worthington operates 32 facilities in seven states and six countries. Following a people-first Philosophy, commitment to sustainability and proven business system, Worthington Steel's purpose is to generate positive returns by providing trusted and innovative solutions for customers, creating opportunities for employees, and strengthening its communities.

Worthington Steel Inc., and its subsidiaries, is an equal employment opportunity employer. Qualified applicants are considered regardless of race, color, religion, age, national origin, sex, disability or veteran's status.