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Analytics Engineer Intern Jobs in Elgin, IL (NOW HIRING)

Rhaeos

R&D Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

400 N Aberdeen St, STE 575 R&D Engineering Chicago, IL 60642 Intern Contact: info@rhaeos.com ... Skills / Knowledge ● Experience with experimental design, data collection, and analysis. ● ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

You will apply your programming and analysis skills to maintain and develop our firm wide data solutions. Other duties as assigned or needed. Skills You'll Need: Hands-on experience and a high level ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL

$250K/yr

You will apply your programming and analysis skills to maintain and develop our firm wide data solutions. Other duties as assigned or needed. Skills You'll Need: Hands-on experience and a high level ...

Jump Trading

Campus Systems Engineer (Intern)

Chicago, IL · On-site

$200K - $250K/yr

Analyze and troubleshoot complex system, software, and networking infrastructure issues * Design ... Skills You'll Need * Major in Computer Science/Engineering, Information Systems, or related ...

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All JobsAnalytics Engineer Intern JobsAnalytics Engineer Intern Jobs in Elgin, IL

Analytics Engineer Intern information

See Elgin, IL salary details

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How much do analytics engineer intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for analytics engineer intern in Elgin, IL is $19.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

What does an analytics engineer intern do?

An Analytics Engineer Intern supports the data team by building and maintaining analytics infrastructure, such as data pipelines and dashboards. They work with both raw data and business teams to ensure data is accessible, clean, and ready for analysis. Typical responsibilities include writing SQL queries, developing data models, and collaborating with data analysts and engineers to deliver insights. The role provides hands-on experience with data tools and real-world business problems, serving as a bridge between engineering and analytics. This helps organizations make data-driven decisions more efficiently.

What are the key skills and qualifications needed to thrive as an analytics engineer intern?

To thrive as an Analytics Engineer Intern, you need a solid understanding of data analysis, SQL, and foundational programming concepts, often supported by coursework in computer science, statistics, or a related field. Familiarity with data warehousing tools such as dbt, cloud platforms like Snowflake or BigQuery, and visualization tools like Tableau or Looker is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly will help you stand out in this role. These skills and qualities are vital for transforming raw data into actionable insights and ensuring data-driven decision-making within organizations.

What is the difference between Analytics Engineer Intern vs Data Analyst Intern?

AspectAnalytics Engineer InternData Analyst Intern
Required skillsSQL, data modeling, basic scripting, cloud platformsExcel, SQL, data visualization, statistical analysis
Work environmentCollaborates with data engineering and analytics teams, often in tech or data-driven companiesWorks with business teams to interpret data, often in various industries
Typical tasksBuilding data pipelines, optimizing data workflows, supporting analytics infrastructureAnalyzing datasets, creating reports, visualizations, and insights

In summary, Analytics Engineer Interns focus on developing and maintaining data infrastructure and pipelines, often requiring technical skills like SQL and scripting. Data Analyst Interns primarily interpret data through analysis and visualization to support business decisions. Both roles are essential in data-driven organizations but differ in technical depth and focus.

How does an analytics engineer intern typically collaborate with data scientists and business analysts during a project?

As an Analytics Engineer Intern, you’ll often serve as the crucial link between raw data and actionable insights. You’ll work closely with data scientists to ensure datasets are properly structured, clean, and optimized for modeling, while also partnering with business analysts to translate their requirements into clear data models and visualizations. Successful collaboration involves regular meetings, iterative feedback, and clear documentation so that everyone can leverage the data effectively. This cross-functional teamwork not only enhances your technical skills but also helps you develop a deeper understanding of how analytics drives business decisions.

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Campus AI Research Engineer (Intern)

Jump Trading

Chicago, IL • On-site

$300K/yr

Other

Re-posted 7 days ago

Job description

Campus AI Research Engineer (Intern)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, or pushing the boundaries of AI research from concept to production, you'll have the opportunity to work on impactful projects in a fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing AI/ML capabilities, we want to meet you.

What You'll Do:

  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate AI/ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:

This role covers a wide range of potential projects and skills. We don't expect everyone to have all of these, but for the applicable areas we are looking for deep technical expertise.

  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Proficiency in Python and/or C++
  • Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
  • Ability to thrive in a collaborative, team-oriented environment
  • Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
  • Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
  • Excellent written and verbal communication skills in English
  • Reliable and predictable availability

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

The estimated base salary for this role (annualized) is $300,000 per year.

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