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Data Analytics Intern Relocation Jobs in Lake Forest, IL

As a Summer Intern, you'll work alongside data scientists and cross-functional partners to support ... Perform exploratory data analysis (EDA) to identify trends, outliers, and data quality issues ...

As a Summer Intern, you'll work alongside data scientists and crossfunctional partners to support ... Perform exploratory data analysis (EDA) to identify trends, outliers, and data quality issues ...

As a Summer Intern, you'll work alongside data scientists and crossfunctional partners to support ... Perform exploratory data analysis (EDA) to identify trends, outliers, and data quality issues ...

Data Science Intern

Chicago, IL · On-site

$1.20K/wk

What you'll do as a Data Science Intern at Rundoo ... Analyze data on product, sales and GTM hypotheses. * Translate product, sales and GTM requests into ...

Join our Data Center Operations team as an onsite intern reporting directly to the Data Center ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Data Center Operations Intern Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data ...

Join our Data Center Operations team as an onsite intern reporting directly to the Data Center ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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Data Analytics Intern Relocation information

See Lake Forest, IL salary details

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$41

How much do data analytics intern relocation jobs pay per hour?

As of May 28, 2026, the average hourly pay for data analytics intern relocation in Lake Forest, IL is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.28 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analytics Intern, you need a strong grasp of statistics, data analysis, and foundational programming skills, often supported by coursework in data science, statistics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication make candidates stand out by enabling them to interpret and present data insights clearly. These skills and qualities are crucial for extracting actionable insights from complex data and supporting informed business decisions.

What are some common challenges faced by Data Analytics Interns who relocate for their internship, and how can these be managed?

Relocating for a Data Analytics Internship often presents challenges such as adjusting to a new city, building a professional network from scratch, and adapting to the company's culture and data tools. Interns may find the initial weeks overwhelming as they balance settling in and meeting project expectations. Proactively reaching out to teammates, attending company events, and seeking mentorship can help ease the transition. Many organizations also offer onboarding sessions and resources to support relocated interns, so taking advantage of these can make the move smoother and more rewarding.

What are Data Analytics Intern Relocation programs?

Data Analytics Intern Relocation programs are initiatives by employers to support interns who need to move to a new city or country for a data analytics internship. These programs may provide financial assistance, housing support, or guidance on moving logistics. The goal is to make it easier for interns to transition smoothly and focus on their internship experience. Depending on the employer, relocation packages can vary greatly, so it’s important to ask about available support during the application process.

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

AspectData Analytics Intern RelocationData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, sometimes certifications
Work EnvironmentInternship setting, often temporary, collaborative teamsFull-time, permanent role, more independent responsibilities
Employer & Industry UsageUsed by companies offering internship programs, often in tech, finance, healthcareCommon across industries for ongoing data analysis needs
Search & Comparison IntentPeople exploring internship opportunities, relocation detailsIndividuals seeking full-time data analysis roles

In summary, Data Analytics Intern Relocation focuses on temporary internship roles involving relocation, often for students or recent graduates. Data Analyst positions are full-time roles requiring more experience and offering ongoing employment. The main differences lie in experience level, job permanence, and purpose of the role.

What are popular job titles related to Data Analytics Intern Relocation jobs in Lake Forest, IL? For Data Analytics Intern Relocation jobs in Lake Forest, IL, the most frequently searched job titles are:
What job categories do people searching Data Analytics Intern Relocation jobs in Lake Forest, IL look for? The top searched job categories for Data Analytics Intern Relocation jobs in Lake Forest, IL are:
What cities near Lake Forest, IL are hiring for Data Analytics Intern Relocation jobs? Cities near Lake Forest, IL with the most Data Analytics Intern Relocation job openings:
Data Science Intern

Data Science Intern

NielsenIQ

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


NielsenIQ rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 424 rated business services


Job description

Company Description
Job Description
NielsenIQ's North America Data Science team empowers clients to make bold decisions using trusted data, measurement science, and advanced analytics. As a Summer Intern, you'll work alongside data scientists and cross-functional partners to support real client and product initiatives-helping turn complex, multi-sourced data into clear, actionable insights. You'll build hands-on skills in data preparation, exploratory analysis, statistical thinking, and automation while learning how analytics products are developed and delivered at scale.
What You'll Do
  • Support defined analytical workstreams by cleaning, joining, and validating multi-sourced datasets.
  • Perform exploratory data analysis (EDA) to identify trends, outliers, and data quality issues; summarize findings for stakeholders.
  • Build and automate repeatable analysis pipelines or reporting outputs using Python and/or SQL.
  • Apply basic statistical techniques to measure performance, compare segments, or evaluate changes over time.
What You'll Learn
  • How trusted data assets and measurement concepts are used to answer business questions in retail and consumer insights.
  • Best practices for data quality checks, reproducible analysis, and clear analytical storytelling.
  • Hands-on experience with real-world, large-scale datasets and common data science workflows.
  • How to collaborate in an agile, cross-functional environment and communicate progress and results.
Qualifications
Qualifications
  • Currently pursuing a Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering) with graduation expected in 2027 or later.
  • Coursework or project experience in statistics, data analysis, machine learning, or other relevant fields.
  • Permanent U.S. work authorization required; no Visa sponsorship available
Skills
  • Working knowledge of Python (pandas, numpy) and/or SQL for data manipulation and analysis.
  • Attention to data quality and detail.
  • Clear written and verbal communication; ability to explain findings to technical and non-technical audiences.
  • Curiosity, a growth mindset, and a collaborative approach to problem solving.
  • Bonus: familiarity with visualization tools (e.g., Tableau, Power BI) or version control (e.g., Git).
Additional Information
Our Benefits
  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
About NIQ
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

NielsenIQ logo

About NielsenIQ

Sourced by ZipRecruiter

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1923

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