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Analytics Engineer Jobs in Chicago, IL (NOW HIRING)

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Avison Young

Lead, Analytics Engineering

Chicago, IL · On-site

As a Lead of Analytics Engineering, you will lead the strategy and execution of data products and models that empower decision makers in commercial real estate, collaborating with various teams to ...

Avison Young

Lead, Analytics Engineering

Chicago, IL

$145K - $165K/yr

Overview As a Lead of Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate ...

Avison Young

Lead, Analytics Engineering

Chicago, IL · On-site

$145K - $165K/yr

Overview As a Lead of Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate ...

Alliant

Principal Platform Engineer

Chicago, IL · On-site

$119K - $204K/yr

Preferred - Fabric Analytics Engineer Associate (or equivalent data platform focused certification) * Preferred - Azure AI Engineer Associate (or equivalent AI focused certification) * Preferred ...

Avison Young

Lead, Analytics Engineering

Chicago, IL

$145K - $165K/yr

As a Lead of Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate decision ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

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Showing results 41-60

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Chicago, IL

Analytics Engineer information

See Chicago, IL salary details

$64.2K

$112K

$182.7K

How much do analytics engineer jobs pay per year?

As of Aug 6, 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 analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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.

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 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 are popular job titles related to Analytics Engineer jobs in Chicago, IL? For Analytics Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Chicago, IL look for? The top searched job categories for 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 jobs near you
Infographic showing various Analytics Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $112,019 per year, or $53.9 per hour.

Data Analyst

AllSTEM Connections

Chicago, IL • On-site

$187K/yr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 18 days ago

Job description

Job Title: Senior Data & Analytics Engineer (Enterprise Intelligence)
Role Overview
We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise data organization. In this role, you will be responsible for the end-to-end lifecycle of data intelligence-from building robust pipelines in Databricks to delivering executive-level insights in Power BI. You will bridge the gap between complex raw data and scalable business KPIs, ensuring that our analytical models are high-performing, governed, and accurate. Beyond technical execution, you will act as a mentor and lead, providing code reviews and establishing best practices for our internal analytics teams.
Key Responsibilities
• SQL Mastery: Design, optimize, and maintain complex SQL queries, views, and stored procedures. Support self-service reporting environments and implement rigorous data quality controls.
• Databricks Engineering: Build and manage Databricks notebooks and Delta tables. Develop sophisticated data pipelines to transform large-scale datasets into curated, audit-ready analytical layers.
• Power BI Leadership: Lead the development and enhancement of Power BI dashboards and semantic models. Ensure reports provide actionable insights for both executive and operational stakeholders.
• Data Modeling & Strategy: Collaborate with business SMEs to translate complex requirements into scalable data models and KPIs across diverse organizational use cases.
• Governance & Validation: Perform advanced data profiling and reconciliation across multiple source systems to ensure adherence to enterprise governance and performance standards.
• Technical Mentorship: Provide SME-level guidance and best-practice coaching. Conduct code reviews for internal teams to ensure high standards in SQL, Databricks, and Power BI development.
Qualifications & Requirements
• Technical Expertise:
• Expert-level proficiency in Power BI, SQL, and Databricks.
• Deep experience with Delta Lake architecture and notebook-based transformations.
• Advanced knowledge of DAX, Power Query, and semantic model optimization.
• Experience:
• Proven track record of building data pipelines for large-scale, complex datasets.
• Experience translating business requirements into technical documentation and KPIs.
• Previous experience in a lead or mentorship capacity.
• Skills: Strong analytical rigor, excellent communication skills, and the ability to perform complex data reconciliation. Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA

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