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Data Analytics Intern Jobs in Rockford, IL (NOW HIRING)

amphenol

Data Analytics/Finance Intern

Janesville, WI · On-site

The Data Analytics and Finance Intern will support our Finance team in analyzing tariffs and duties, improving data visibility, and assisting with reconciliation and reporting processes. This role ...

Reli Group Inc

Power BI Intern

Rockford, IL

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Dekalb, IL

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Danaher

Digital Analyst Internships

Dekalb, IL

$96.70K - $114.30K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Danaher

Digital Analyst Internships

Rockford, IL

$90.60K - $107.10K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

City of Rockford, IL

FORESTRY SUMMER INTERN

Rockford, IL · On-site

$18/hr

... analyze, and interpret data; ability to understand and follow verbal and written instructions; ability to seek supervisory guidance, yet make individual decisions; ability to take direction; ability ...

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How much do data analytics intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for data analytics intern in Rockford, IL is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 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 solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

What are the most commonly searched types of Data Analytics jobs in Rockford, IL? The most popular types of Data Analytics jobs in Rockford, IL are:
What are popular job titles related to Data Analytics Intern jobs in Rockford, IL? For Data Analytics Intern jobs in Rockford, IL, the most frequently searched job titles are:
What job categories do people searching Data Analytics Intern jobs in Rockford, IL look for? The top searched job categories for Data Analytics Intern jobs in Rockford, IL are:
What cities near Rockford, IL are hiring for Data Analytics Intern jobs? Cities near Rockford, IL with the most Data Analytics Intern job openings:
Data Analytics Intern jobs near you

Data Analytics/Finance Intern

amphenol

Janesville, WI • On-site

Other

Posted 16 days ago

Job description

Position Summary:

The Data Analytics and Finance Intern will support our Finance team in analyzing tariffs and duties, improving data visibility, and assisting with reconciliation and reporting processes. This role will focus on building a structured view of tariff-related data, supporting recovery analysis, and developing dashboards to track key metrics.

Position Requirements:

  1. Data Analysis & Preparation
    1. Identify and gather relevant data from key sources (e.g., ERP invoices, AP/AR records, shipment or customs data).
    2. Assist in organizing and structuring data for analysis using Excel, SQL, or similar tools.
  2. Reconciliation & Insights
    1. Help reconcile tariffs/duties paid with customer invoices and credits for a defined dataset or business segment.
    2. Analyze discrepancies and highlight potential recovery opportunities.
  3. Dashboarding & Reporting
    1. Develop and maintain a dashboard (Power BI, Tableau, or Excel) to track key metrics such as:
      1. Total duties paid
      2. Amount recovered
      3. Recovery rate
      4. Aging of outstanding balances
    2. Present findings and insights to the Finance team.
  4. Documentation & Process Support
    1. Document data sources, assumptions, and reconciliation logic.
    2. Assist in outlining repeatable processes and recommendations for future improvements.
  5. When mandated, will need to be available to work overtime, be it daily extra hours or weekly with additional days added to the work week.
  6. Individuals directed by management to operate a vehicle for work purposes will observe the requirements of the Fleet Safety Program.
  7. Support, promote, and perform in a manner consistent with continuous improvement goals and the values of SSI Technologies, LLC. which includes following the policies, procedures, and requirements of our Quality Management and IS0 14001 Environmental Management Systems.
  8. All other duties as assigned by your supervisor.

Professional/Technical Experience, Skills and Education:

  1. Currently pursuing an education in Finance, Data Analytics, Information Systems, or related field, required.
  2. Strong Excel skills (pivot tables, lookups; Power Query a plus), required.
  3. Basic SQL proficiency (joins, filtering, aggregations), required.
  4. Interest in financial analysis and working with data, required.
  5. Experience with a BI tool (Power BI, Tableau, or similar), preferred.
  6. Exposure to Python or R for data analysis, preferred.
  7. Basic understanding of accounting concepts (AP/AR, reconciliations), preferred.
  8. Familiarity with ERP systems or large datasets is a plus, preferred.

 

Key Attributes:

  • Performs under direct supervision
  • Handles basic issues, refers more complex issues up a level.
  • Solid working level of knowledge.
  • Receives mentoring and coaching.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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