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Intern Data Analyst R Programming Jobs (NOW HIRING)

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

Utilizing R programming to collect, process, and analyze data using visual and statistical analysis techniques; Utilizing Rattle to conduct predictive modeling; Utilizing Tableau to create ...

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

Jr. Data Analyst

Hollywood, FL · On-site

$62K - $75K/yr

Experience with programming languages such as Python or R for data analysis. * Familiarity with statistical methods and predictive modeling techniques. * Previous internship or work experience in a ...

Utilizing Causal Effect Analysis techniques to evaluate the price impacts on promotion ... programming. * Document, summarize and present your results. At Vistex we greatly value your ...

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Intern Data Analyst R Programming information

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How much do intern data analyst r programming jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for intern data analyst r programming 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 is the difference between Intern Data Analyst R Programming vs Intern Data Analyst Python?

AspectIntern Data Analyst R ProgrammingIntern Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, statistical modeling, research projectsData analysis, automation, machine learning tasks
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles are entry-level internships focused on data analysis, requiring programming skills in their respective languages. R is often used for statistical analysis and visualization, while Python is versatile for data manipulation and machine learning. The choice depends on the industry and specific project needs.

What cities are hiring for Intern Data Analyst R Programming jobs? Cities with the most Intern Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Intern Data Analyst R Programming jobs? States with the most job openings for Intern Data Analyst R Programming jobs include:
Intern, Data Analytics-Mission Data & Grants

Intern, Data Analytics-Mission Data & Grants

Goodwill Industries International, Inc.

Rockville, MD • On-site

$18/hr

Other

Posted 7 days ago


Job description


June 2026

TITLE:Data Analytics Intern (Mission Data & Grants)RESPONSIBLE TO:Senior Manager, Mission and Sustainability DataDIVISION/DEPT:Date Center of ExcellenceSUPERVISES:N/AFLSA STATUS:Non-Exempt


SUMMARY: Summer internship starting in June 2026, ending August 2026. The position can be worked full-time (40 hours per week) or part-time (20 hours per week). This internship is fully remote, though applicants from the Washington, DC area will have the opportunity to work from the Goodwill Industries International (GII) headquarters in Rockville, Maryland if desired. This internship pays $18.00 per hour.


This role will support the Data Center of Excellence (Data COE) team across five key areas: documentation of data processes and reporting logic, exploratory data analysis beyond standard grant reporting, data pipeline and dashboard cleanup and maintenance, qualitative data capture from member research and surveys, and general research to support grant strategy and benchmarking. This intern will have the opportunity to work cross-functionally within GII and will gain experience in data documentation, analysis, dashboard development, and stakeholder engagement.


Promising applicants will be able to demonstrate familiarity with data analysis and visualization by presenting a project that includes data cleaning, exploratory analysis, and visualization using tools such as Python, R, or Power BI from their academic or professional portfolio. Strong applicants will also demonstrate the ability to clearly document their analytical process, including how data is transformed, validated, and used to generate insights. Exceptional applicants will have experience working with both quantitative and qualitative data, such as survey results or interview feedback, and an ability to synthesize findings into clear, actionable insights for non-technical audiences.


BASIC FUNCTION:

  • Create and maintain clear, standardized documentation of data processes, metric calculations, and reporting logic across multiple grant programs.
  • Conduct exploratory data analysis to uncover insights beyond standard grant reporting, support data pipeline maintenance and Power BI dashboard updates, capture qualitative data from member organizations, and perform general research on industry benchmarks and peer organization practices.

SPECIFIC DUTIES1:

  • Draft and refine plain-language documentation of how metrics are calculated, data is cleaned, and reports are generated for grant programs.
  • Develop step-by-step guides for updating and maintaining Power BI dashboards and grant reporting processes.
  • Perform exploratory analysis on grant data (e.g., credential and placement outcomes, wage trends, training impact) and prepare summary findings for the team.
  • Assist with data quality checks, including identifying duplicates, missing values, and inconsistencies across datasets.
  • Support data pipeline tasks such as validating outputs, documenting code logic, and assisting with light cleanup of Python notebooks.
  • Synthesize qualitative feedback and patterns from member meetings, surveys, and program interactions into structured summaries.
  • Conduct landscape research on how peer organizations handle subgrantee data reporting, metric definitions, and data collection practices.
  • Support preparation of materials for internal and external stakeholder meetings as needed.


RELATIONSHIPS:

Internal: Daily contact with GII team members to coordinate projects and support activities.

Local Goodwills: Some contact with representatives of Goodwill member organizations.



SKILLS NEEDED:

  1. Strong oral and written communication skills required.
  1. Excellent time management and organization skills.
  1. Familiarity with Power BI or Tableau preferred.
  1. Demonstrated use of Python or R for data analysis and visualization projects.
  1. Strong writing skills with an ability to translate technical processes into clear, accessible documentation.
  1. Comfort working with both quantitative and qualitative data.
  1. Attention to detail and a commitment to data quality and accuracy.


EDUCATION:

Graduate students studying data science, public policy, economics, social sciences, or other related fields are preferred, but undergraduate students in relevant fields with strong analytical skills are also considered.

EXPERIENCE:

  • Academic or professional experience completing data projects involving data processing, analysis, and visualization.
  • Experience presenting technical subjects to non-technical audiences.
  • Some familiarity with tools and software commonly used for data analysis and visualization, such as Power BI, Tableau, Excel, R, or Python.
  • Experience with technical or process documentation is a plus.
  • Exposure to qualitative research methods (e.g., surveys, interviews, thematic analysis) is a plus.

DECISION MAKING:

Decision and recommendation-making for developing systems, appropriate responses to identified needs, and consultative guidance to improve performance.

SUPERVISION:

Moderate with latitude given to the position in carrying out work assignments. Work is checked for accuracy and completeness.

PHYSICAL EFFORT:

Sedentary with lifting 10 pounds maximum and occasionally lifting and/or carrying such articles or files. Walking and standing are required occasionally; long hours sitting at a desk and using a computer.


Our Values

We believe everyone deserves an opportunity to thrive. Goodwill’s mission grounds us and happens through each one of us. This aspiration applies to each GII team member as much as to the people we serve. GII’s organizational values guide all that we do; how we do our work and make decisions, and how we interact with each other, Goodwill members and all stakeholders.

Our mission happens through me (Passion)

We have a fire for our mission. We bring our energy, creativity and passion to all that we do. By contributing the best of what is within each of us, we inspire the same in our peers, and multiply Goodwill’s impact.

Drive to make a difference (Impact)

We believe that our work must lead to a measurable difference in the lives of the people Goodwill serves. We are committed to performance excellence in all that we do. Our strategy focuses our work to achieve that impact, and we say no to things that do not align.

You before me (Respect)

We treat all people with dignity, kindness, appreciation and respect. We are curious without judgment, and we actively listen to ensure mutual understanding. We give everyone a caring and safe place to share their opinions, their talents, and their questions. We build trust through direct, clear and transparent communication. We are open and humble.

Thriving begins at home (Well-being)

We respect the contributions and the needs of our individual team members equally, and we understand that each one of us needs different things at different times to thrive both in and out of the workplace. We strive to make genuine and continuous investments in one another and ourselves. As such, we adopt healthy, holistic approaches to our work. We proactively care for one another and ourselves by speaking up for what we need and supporting one another in achieving it.

Out of many, One Goodwill (Advancing our mission together)

We embrace all people and perspectives as we advance Goodwill’s mission to help people reach their full potential through the power of work. We acknowledge historical inequities still exist and are intentional in breaking barriers. We are committed to being part of the solutions, leaning into courageous conversations, and providing inclusive spaces and equal opportunities for real change in all of our endeavors. Our diversified reflection shall shine as one Goodwill.

Be bold, learn and grow (Agility)

We are open, creative, innovative, agile and willing to take risks. We operate with a sense of urgency, without rushing for the sake of speed.  While we do our best to make good decisions, we embrace failure for the learning it affords and adapt quickly to move ahead.  We are one unified team that succeeds and stumbles, and learns and grows together with humility and grace.