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Data Analytics Intern Relocation Jobs in Colorado

The Intern will contribute to the design and development of a data-driven model that explains and ... Build predictive analytical models to assess: * Which drivers materially impact margin - X ...

... data-driven decision-making. If you are a results-oriented leader with a passion for HR analytics ... CO . Relocation assistance is available for this position. What you'll do: * Responsible for ...

... data-driven decision-making. If you are a results-oriented leader with a passion for HR analytics ... CO . Relocation assistance is available for this position. What you'll do: * Responsible for ...

Analytics Engineering Intern

Denver, CO · On-site

$17.25 - $22.50/hr

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about ... Work with structured and unstructured data to support analytics and automation initiatives.

As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media ... Data analytics * Program Language experience 2 years. * Intent to return to degree-program after ...

As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media ... Data analytics * Program Language experience 2 years. * Intent to return to degree-program after ...

Relocation assistance is not provided. ***iLending is unable to provide VISA or OPT sponsorship ... The Director of Data Analytics will provide hands-on consultancy, collaboration, and support to all ...

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Data Analytics Intern Relocation information

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

Intern, Data Science

My Goodwill

Colorado Springs, CO • On-site

$23 - $27/hr

Full-time

Retirement

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


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 -
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.