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Entry Level Analytics Engineer Jobs in Chicago, IL

Kinectrics

Electrical Engineer-Entry Level 1

Naperville, IL · On-site

$75K - $83K/yr

Entry Level-Electrical Engineer Location: Naperville, IL Known for the technical excellence of its ... Our Design Engineering Division provides comprehensive engineering, design, analysis and consulting ...

Messina Talent Advisors

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Entry Level Mechanical Engineer

Lisle, IL · On-site

$25 - $27/hr

Seeking to hire an entry-level engineer for a contract-to-hire opportunity to support our client ... Record and analyze test data, ensuring accuracy and completeness. * Support engineers with ...

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All JobsAnalytics Engineer JobsEntry Level Analytics Engineer JobsEntry Level Analytics Engineer Jobs in Chicago, IL

Entry Level Analytics Engineer information

See Chicago, IL salary details

$41.7K

$89K

$146.8K

How much do entry level analytics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for entry level analytics engineer in Chicago, IL is $88,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $106,600.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an Entry Level Analytics Engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

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

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do Entry Level Analytics Engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
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 Entry Level Analytics Engineer jobs in Chicago, IL? For Entry Level Analytics Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Analytics Engineer jobs in Chicago, IL look for? The top searched job categories for Entry Level Analytics Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Entry Level Analytics Engineer jobs? Cities near Chicago, IL with the most Entry Level Analytics Engineer job openings:
Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 1% Locum Tenens, 71% Full Time, 15% Part Time, 9% Contract, and 4% Nights. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution, with an average salary of $88,985 per year, or $42.8 per hour.
Entry-Level Cloud Engineer (AWS)

Entry-Level Cloud Engineer (AWS)

SynergisticIT

Des Plaines, IL

Other

Posted 14 days ago

Job description

SYNERGISTICIT = exceptional skills and technologies enabled Candidates . we ensure you get the attention required from Tech Clients which you resume requires
Position open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists.
We welcome candidates with all visas and citizens to apply.
Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
Candidates who are serious about their future in the IT Industry and have set big goals for themselves.
Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes
Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement
Candidates who Lack Experience
Have had a break in careers
Lack Technical Competency
Different visa candidates who want to get employed and settle down in the USA
Please also check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If not a match candidates can opt for Skill enhancement.
REQUIRED SKILLS For Java/Software Programmers :
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, AWS, Microservices and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
Please apply to the posting
No phone calls please. Shortlisted candidates would be reached out

Apply