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Data Intern Jobs (NOW HIRING)

The Intern will contribute to the design and development of a data-driven model that explains and predicts margin performance across stores, categories, and operational levers. ESSENTIAL FUNCTIONS:

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer ...

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data.

POSITION SUMMARY | Data Research Analyst Intern Are you looking for an opportunity to jump-start your future career? Do you want to gain real world experience working on a team that values hard work ...

Data Analyst Intern The Data Analyst Intern is responsible for analyzing manufacturing and operational data to uncover trends, support decision-making, and drive process improvements. This intern ...

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Data Intern information

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$12

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$42

How much do data intern jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data intern in the United States is $22.50, 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 Intern, and why are they important?

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

What does a Data Intern do?

A Data Intern assists data teams by collecting, cleaning, and analyzing data to support business decisions. They often work with tools like Excel, SQL, or Python to organize and visualize data. Typical tasks may include data entry, quality checks, building reports, and helping with basic research projects. This role provides valuable experience in data analysis and helps interns develop technical and analytical skills needed for future data-related careers.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What types of projects and tasks can a Data Intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.
More about Data Intern jobs
What cities are hiring for Data Intern jobs? Cities with the most Data Intern job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Data Intern jobs? States with the most job openings for Data Intern jobs include:
Infographic showing various Data Intern job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 12% Full Time, and 82% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

$23 - $27/hr

Full-time

Retirement

Posted 7 days ago


Job description

Applications due by June 19, 2026

Goodwill of Colorado

    Job Description

Pay: $23.00 - $27.00 / hour

This position is eligible for Daily Pay!  Work today, get paid today! We’ve partnered with DailyPay, a voluntary benefit to offer employees access to their pay on their own schedule.

Work Schedule: Full-Time; 30-40 hours per week; 6-8 hours per day; Monday - Friday 

This position is eligible for Paid Sick and Safe Time (PSST) under the Healthy Families and Workplaces Act. All employees may also make pre-tax or post-tax (Roth) contributions to our retirement plan – must be 18 years of age to participate.

 JOB SUMMARY:

Goodwill of Colorado, a $220 Million social enterprise and Human Services organization, is seeking an Internship (Intern), Data Science to support a high-impact analytics initiative focused on understanding and modeling Retail margin drivers across our donated goods business. This role will work at the intersection of data, operations, and mission, helping to translate complex Retail dynamics into actionable insights that directly support Goodwill’s mission. The Intern will contribute to the design and development of a data-driven model that explains and predicts margin performance across stores, categories, and operational levers.

ESSENTIAL FUNCTIONS:

  • Conduct exploratory data analysis to identify candidate margin drivers across pricing, inventory mix, sell through, labor, donation flow, and store operations, using historical data.
  • Build predictive analytical models to assess: 
    • Which drivers materially impact margin – X variables that truly move the Y variable.
    • The direction of impact (positive/negative).
    • Non linear effects, inflection points, and diminishing returns.
  • Refine the models based on testing and comparison, considering alternative approaches, and input from key stakeholders. Document assumptions and limitations for the models.
  • Partner with Retail, Finance, Information Technology (IT), and Operations stakeholders to translate business questions into analytical approaches.
  • Clearly communicate findings suitable for business discussion without over-focusing on the underlying mathematical basis.
  • The Intern may occasionally be assigned other duties to support the company.

Example Scope of Work

  • Deconstruct store level margin for a single store, then expand to multiple stores.  Alternatively, start at company-level and drill down to individual store.
  • Analyze impact of specific variables such as price/markdown, donation supply, etc.
  • Model margin optimization at a product category level.

QUALIFICATIONS:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education:

Required:

  • Current undergraduate or graduate student in Data Science, Statistics, or related field.
  • Strong analytical reasoning and quantitative analysis skills.
  • Experience with Python or R for data analysis.
  • Familiarity with regression, exploratory analysis, and basic modeling techniques.
  • Ability to explain analytical findings and modeling concepts to business stakeholders.
  • The majority of the work is required to be on site at our Colorado Springs campus.

Preferred:

  • Coursework or experience in non-linear modeling or causal inference concepts.
  • Experience with SQL and reporting tools.
  • Interest in social justice and impact, mission driven organizations, or public service.
  • Stamina and aptitude for test-learn-refine work.

Internship Outcomes:

  • Hands-on experience conducting exploratory analysis and solving real business problems.
  • A portfolio quality project demonstrating how data science informs strategic decision making. Inclusion in an Intern’s portfolio will be subject to approval of wording, content, and logo approval by Goodwill of Colorado.
  • Exposure to how analytical insight is translated into operational guidance.
  • Mentorship from leaders working at the intersection of data, strategy and mission.

Other Requirements for Employment:

  • Non-disclosure agreement will be executed between Intern and Goodwill of Colorado.
  • Work product of selected candidate will be owned and controlled solely by Goodwill of Colorado
  • Successful completion of the project will result in a reference letter and the opportunity to include an approved statement to enter in the Intern’s portfolio of work.

Goodwill is an Equal Opportunity Employer dedicated to employing qualified individuals including those with disabilities, protected veterans and military spouses. 

Goodwill participates in E-Verify.  For more information on E-Verify, please contact DHS: 888-897-7781 or www.dhs.gov/E-Verify.

We promote a Safe & Drug-free Workplace.

Physical Requirements

Attachment to Job Description

Job Title: 177 – Intern, Data Science Dept Number: 9000

 The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 Guide to Physical Requirements:

  • Continuously (5-8 hours)
  • Frequently (3-4 hours)
  • Occasionally (1-2 hours)
  • Never

LIFTING: (as defined by ADA)

   Heavy: 45 lbs & over - NEVER

   Moderate: 15-44 lbs - NEVER

   Light: 14 lbs & under - OCCASIONALLY

CARRYING:

   Heavy: 45 lbs & over - NEVER

   Moderate: 15-44 lbs - NEVER

   Light: 14 lbs & under - OCCASIONALLY

PUSHING/PULLING - OCCASIONALLY

REACHING:

   Above Shoulder - OCCASIONALLY

   At Shoulder - OCCASIONALLY

   Below Shoulder - OCCASIONALLY

TWISTING - OCCASIONALLY

BENDING - OCCASIONALLY

KNEELING/CRAWLING - OCCASIONALLY

SQUAT - OCCASIONALLY

CLIMBING:

   Use of legs only (stairs) - OCCASIONALLY

   Use of arms & legs (ladders) - NEVER

HEARING - CONTINUOUSLY

VISION:

   Visual, close - CONTINUOUSLY

   Visual, distant - CONTINUOUSLY

   Visual, depth perception - CONTINUOUSLY

HANDS/FINGERS:

   Simple grasping - CONTINUOUSLY

   Fine Manipulation - CONTINUOUSLY

   Repetitive Movements - CONTINUOUSLY

WALKING - OCCASIONALLY

STANDING - OCCASIONALLY

SITTING - CONTINUOUSLY

SPEAKING - CONTINUOUSLY

OTHER, please describe –Â