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Data Analytics Engineer Jobs in Chicago, IL (NOW HIRING)

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 ...

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

New

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

New

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

New

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

Analytics Engineer Full time Chicago, Illinois | Atlanta, Georgia | Charleston, South Carolina ... SUMMARY Greystar's DAI organization (Data, Digital, and AI) is responsible for the platforms ...

SUMMARY Greystar's D²AI organization (Data, Digital, and AI) is responsible for the platforms ... As an Analytics Engineer on one of Decision Intelligence's forward-deployed pods, you'll turn that ...

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 ...

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.

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Avison Young is a global commercial real estate brokerage and advisory firm, seeking a Senior Analytics Engineer to join their Data Architecture team. In this hands-on leadership role, you will own ...

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 ...

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 ...

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 ...

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 ...

Analyst Data Analytics

Deerfield, IL · On-site

$63K - $101K/yr

Bachelor's Degree in Statistics, Engineering, Computer Science or Information Systems. * Knowledge of advanced coding languages (e.g. SAS, SQL, C++, etc.). * Experience with system administration (e ...

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 ...

Showing results 21-40

Data Analytics Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analytics engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

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 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.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Chicago, IL?

The most popular types of Data Analytics Engineer jobs in Chicago, IL are:

What job categories do people searching Data Analytics Engineer jobs in Chicago, IL look for?

The top searched job categories for Data Analytics Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Analytics Engineer jobs?

Cities near Chicago, IL with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Senior Analytics Engineer

Feastables

Chicago, IL • On-site

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Feastables is on a mission to create the world's most engaging brand. As the CPG industry teeters on the edge of transformation, trust has shifted from traditional corporate giants to innovative individual creators. With the backing of MrBeast, the world's most influential creator, and our unwavering commitment to transparency and superior quality, we are strategically positioned to become the go-to snacking brand for future generations.
At the heart of our ethos is the belief that anything is possible. This belief ignites our innovation and drives us to push boundaries. It's what enables us to deliver incredible products and unique, engaging experiences that keep our fans and customers coming back for more.
Though recognized for our chocolate bars, our vision goes beyond a single product category. We aim to offer a diverse product range, each item tailored to meet our customers' unique tastes and needs. Regardless of the variety, all of our products share a common trait - the guarantee of quality and fun that Feastables is known for.
We're not just building a brand; we're crafting a legacy and just getting started. We are charting an unprecedented path, at an unbelievable velocity, and seeking extraordinary individuals to help us shape the next iconic global brand. Together, we will build something truly remarkable that will resonate with customers worldwide and stand the test of time.
Role Overview
Feastables is building a modern CPG brand at scale, where data is critical to how the business plans, operates, and grows. This role sits at the center of that effort, enabling Supply Chain, Finance, and Commercial teams to make decisions using accurate, reliable, and scalable analytics.
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 complex business processes into structured, production-ready data systems that teams rely on daily.
The Role
This is a senior individual contributor role with end-to-end ownership of analytics systems. The role owns ingestion, transformation, and visualization of critical datasets across Databricks and Tableau, supporting core business functions including Supply Chain, Finance, and Commercial operations.
The role operates independently, makes technical decisions, and sets standards for analytics engineering within the Feastables domain. While there is no people management, the role requires strong ownership, cross-functional partnership, and responsibility for systems that are critical to company operations.
What You'll Do
  • Own end-to-end ingestion of Feastables' demand plan into Databricks and Tableau
  • Maintain and improve demand cascade logic from customer-level to retailer-level
  • Manage unit conversions and product mappings across finished goods, cases, pallets, and materials
  • Ensure demand data is accurate, timely, and consumable by downstream supply chain tools
  • Design, build, and maintain data pipelines in Databricks using Python and SQL
  • Manage ingestion from multiple sources including retailer APIs (Walmart, Target, Kroger), ERP systems (NetSuite), and Azure Blob Storage file drops
  • Own data table design, transformations, and performance optimization at scale (~2M records/day)
  • Improve reliability, documentation, and resilience of data pipelines
  • Build and maintain Tableau dashboards for financial pacing, forecast vs actuals, POS performance, supply chain scorecards, MRP, and COGS/margin analysis
  • Ensure dashboards are accurate, performant, well-documented, and trusted as a source of truth
  • Design clean, well-modeled datasets to support self-service analytics
  • Own quarterly Fair Trade reporting, including sales data extraction and enrichment with country-of-origin and royalty attributes
  • Ensure reporting outputs are accurate, auditable, and delivered on schedule
  • Set best practices for analytics engineering, documentation, and data quality
  • Partner with data leaders across the company on standards, tooling, and architecture
  • Identify opportunities to simplify workflows, improve cost efficiency, and modernize the data stack
What You'll Bring
  • 6+ years of experience in analytics engineering, data analytics, or BI roles
  • Strong hands-on experience with SQL, DBT, Python, and Tableau
  • Experience working with cloud data platforms, with Databricks strongly preferred
  • Proven ability to own end-to-end analytics systems from ingestion through executive dashboards
  • Experience supporting CPG, retail, supply chain, or manufacturing analytics
  • Experience working with imperfect data and evolving business processes
  • Experience with Azure and GCP, including Blob Storage, Data Factory, or BigQuery
  • Experience with POS data, retailer APIs, and ERP systems such as NetSuite
  • Familiarity with MRP, demand planning, or inventory management concepts
  • Experience operating at scale with high-volume datasets

Why Feastables?
We believe in transparency - not just in our ingredients, but in how we hire. When making compensation decisions, we consider many factors like role level, market data, location, and relevant experience and skills. For this role, we expect the annual base salary to fall between $130,000-$160,000.
Beyond salary, we offer a thriving culture where you'll have interesting problems to solve with the autonomy you need to make a difference. And, of course, we have the perks/benefits to enable you to do your best work.
  • Competitive Salary
  • 100% employer paid option for medical, dental, and vision
  • 401(k) with an employer match
  • 11 company paid holidays
  • Unlimited PTO policy
  • Delicious chocolate & snacks of course!

RECRUITERS: We do not accept unsolicited assistance from search firms or recruitment agencies - please, no phone calls or emails.