Analytics Engineer Internships
Analytics engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building data pipelines and transformation logic, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in {{top_industries_phrase}}, with Meta, ByteDance, and Teknor Apex Company among the employers posting roles now.
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Are you passionate about sandals, boots, and everything in between? Do you live and breathe sustainability? Do you have a creative eye, a hunger to learn, and a KEEN interest in the outdoor industry? If you said yes to any of the above, we have the perfect opportunity for you!
Position: Analytics Engineer Intern
Location: KEEN's Global Headquarters in Portland, Oregon (on-site)
Duration: 10 weeks
Compensation: $22/hour
Program Duration: Monday, June 14th – Friday, August 20th
What You'll Do
As an Intern at KEEN (KEENtern), you'll dive into the exciting world of footwear, innovation, and community! You'll get hands-on experience working alongside industry experts and contribute to shaping the future of KEEN.
On the Analytics Engineering team, you will help KEEN through one of its most important data initiatives: our move to SAP S/4HANA. You will work alongside our analytics engineers to map how legacy SAP data translates to the new system, confirm that key numbers tie out in our data warehouse, and document the tables and business logic our reporting will rely on for years to come. Along the way, you build practical experience with a modern data stack, including Snowflake, dbt, SQL, and Power BI, and see how data powers everything from inventory to finance at a global footwear brand.
Essential Responsibilities
- Map legacy SAP tables and fields to their SAP S/4HANA equivalents, documenting structural and business-logic differences
- Write SQL to reconcile legacy and S/4HANA data across Snowflake and SQL Server, including row counts, key metrics, and financial and inventory tie outs
- Investigate and log data discrepancies, partnering with analytics engineers and business users to identify root causes
- Review Power BI reports to identify dependencies on legacy SAP structures and recommend which reports need rework or retirement
- Document new source tables, data lineage, and business logic in Confluence as new data models are built
- Contribute to dbt models and data quality tests with guidance from the Analytics Engineering team
- Track progress throughout the internship and present findings and recommendations to the team and stakeholders
Minimum Qualifications
- Currently pursuing or recently completed a bachelor's degree in Information Systems, Business Analytics, Data Science, or a related field
- Must be enrolled in an accredited college or university at the Junior, Senior, or Graduate level. You will also be considered if you have recently graduated from an accredited college or university.
- Must be able to work 40 hours/week during the internship program during normal working hours (Monday–Friday 8:00 AM – 5:00 PM) and be available to work in the office 5 days/week.
- Coursework or project experience writing SQL queries (e.g., joins, aggregations, filtering)
- Familiarity with a data visualization tool such as Power BI or Tableau, or advanced Excel skills (e.g., pivot tables, lookups)
- No prior SAP or ERP experience required
What We're Looking For:
We're seeking someone who embodies our passion for creativity, sustainability, and the great outdoors. Our ideal KEENtern is:
- Passionate: Whether you're an outdoor enthusiast, committed to sustainability, or fascinated by footwear trends and innovation, you're excited to engage with the world around you.
- Creatively Minded: You're detail-oriented, love bringing fresh ideas to life, and have a knack for solving problems.
- A Strong Communicator: Whether it's collaborating with a team or presenting ideas, you know how to express yourself clearly and effectively.
- Proactive & Eager to Learn: You're curious, ready to ask questions, take initiative, and dive into new challenges with enthusiasm.
Why Intern with Us?
Being a KEENtern means you're not just an intern—you're a valued part of our KEEN community. Here's what you can look forward to:
- Meaningful Work: Tackle real-world projects that make an impact, gaining valuable hands-on experience at a globally recognized brand.
- Collaborative Environment: Partner with talented teammates and work on a group project with other KEENterns.
- Networking Opportunities: Build connections with industry experts and mentors who can help shape your career.
- Perks & Benefits: Enjoy product discounts, a subsidized cafeteria, and an inspiring workspace.
- Outdoor Adventures: Immerse yourself in Portland – a vibrant city nestled between the mountains and the coast – a hub for all things outdoors, such as hiking, biking, rafting, camping, and climbing.
Program Requirements:
To qualify for this internship, you must:
- Be a Junior, Senior, or Graduate student working toward a degree in Information Systems, Business Analytics, Data Science, or a related field
- Be eligible to work in the U.S. without sponsorship
- Commit to a 10-week program from mid-June through mid-August
- Dedicate 40 hours per week during standard M-F work week
- This is an onsite role located at our beautiful headquarters office in Portland, OR
- Plan no more than four total days of vacation during the internship
- Demonstrate proficiency in Microsoft Office programs, including Outlook, Word, and PowerPoint
- Able to learn and adapt quickly to new software and tools
- Demonstrate strong verbal and written communication skills, strong attention to detail in preparation of presentations, reports, and materials
- Demonstrate strong organization skills with the ability to prioritize and manage multiple tasks
- Proven ability to work independently as well as collaborate with a team
- Able to perform the essential functions of the role, with or without reasonable accommodation, including using a computer for extended periods
Travel: Occasional travel in and around the larger Portland area
Ready to Take the Next Step?
If you're ready to take your passions to the next level and be part of a world-class team, please apply.
Other Requirements
Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without cause.
Fuerst Group, KEEN and Chrome are equal opportunity employers. We value an inclusive and diverse community. Qualified candidates of all backgrounds are encouraged to apply and will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Analytics Engineer Internship Market
Who's Hiring



Tips for Your Analytics Engineer Internship Search
Apply earlier than your peers do
Large employers open summer analytics engineer intern recruiting the preceding fall, with many cohorts full before winter break. Smaller companies and co-op programs post closer to start dates. Check listings in September and set up alerts so you're in the first wave, not catching up after top cohorts close.
Build a portfolio before you start applying
Hiring teams for analytics engineer interns assess your GitHub more than your resume. Publish two or three end-to-end projects with documented dbt models, SQL transformations, or pipeline builds, naming every tool you used. A linked repository with a clear README gives recruiters something to evaluate when you have little formal work history.
Work your campus network and apply directly at the same time
Campus career fairs surface structured intern programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside that campus activity widens the pool you reach and catches openings that never come to campus.
Practice the technical screen out loud before you apply
Analytics engineer intern screens typically combine SQL and data modeling questions with a take-home or live coding exercise in Python or dbt. Practice explaining your reasoning as you work through a problem, since interviewers weigh how you think as much as the final answer. Doing this out loud, not just on paper, is the difference between a confident answer and a silent struggle.
Target structured analytics or data intern programs early
Larger tech and enterprise companies run cohort-based analytics intern programs designed for people new to the field, with mentorship tracks and assigned projects from day one. These programs recruit in the fall and fill faster than general postings. Identify the ones that fit your background and apply in the first wave rather than waiting for a second round.
Set your work-type filter before you start
On-site roles are 67% of the analytics engineer internships listed here. Decide what you can commit to, on-site, hybrid, or remote, before you start searching. Filtering by location and work type at the start means you're only reviewing roles you can actually accept, not sorting through listings after you're already interested in them. You can adjust filters on Migrate Mate as your availability changes.
Analytics Engineer Internships: Frequently Asked Questions
How do I get an analytics engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. Build a public portfolio, ideally a GitHub repository with documented dbt models, SQL transformations, or end-to-end pipeline projects, so recruiters have something concrete to assess. Combine direct applications with campus career fairs, where analytics and data recruiters often move faster for students they meet in person.
Can an analytics engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for analytics engineer interns is consistent delivery on real work, positive team relationships, and available headcount at the time offers go out. Position yourself by treating every project like it ships to production, asking for feedback early, and clarifying return-offer timelines with your manager before the internship ends.
When should I apply for analytics engineer internships?
Earlier than most candidates expect. Large tech and enterprise employers open summer intern recruiting the preceding fall, often with application deadlines in October or November. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly and setting up job alerts means you catch roles as soon as they go live, not after the first-wave cohort fills.
Are analytics engineer internships paid?
Most professional analytics engineer internships in the United States are paid. Compensation varies by company size, industry, and location. Where employers disclose pay, the listing shows it. Unpaid internships exist but are uncommon at companies running structured data programs, and they're rare in tech and financial services specifically.
What should an analytics engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools you used, dbt, SQL, Python, Spark, Airflow, Looker, and link directly to the code or analysis in a public GitHub repository. Add relevant coursework in databases, data modeling, or software engineering. Keep everything to one page so recruiters see your strongest signal without scrolling.
Are there remote analytics engineer internships?
Yes. Remote and hybrid roles make up 33% of the analytics engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early once you find a role that fits. Filter by work type at the start of your search so you're only reviewing positions you can actually accept.
Can international students get analytics engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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