Real datasets
Operations, finance, or commercial files with the mess you will see on the job — not toy CSVs.
Internship
Data Analyst Internship
A 12-week, mentor-led internship on real business datasets. You leave with a portfolio pack, not just a certificate.
12 weeks
Duration
4
Projects
Weekly
Mentorship
Remote
Format
What you get
What you will work on
Weekly sprints
A clear brief, a review, and a ship date. You practise finishing, not collecting half-done notebooks.
Excel and SQL
The two tools most analyst roles still expect, used together the way a team actually works.
Decision packs
Short written findings a manager could use — headline, evidence, next step.
Portfolio
Work you can show in interviews, with assumptions and refresh notes included.
Mentor feedback
A named mentor, not a forum. You know who reviews your work each week.
How we work
How the internship runs
Apply
Share your background, a short note on the track, and when you can start. We confirm fit within a few business days.
Onboard
Tools, working hours, communication norms, and your first dataset — so week one is not spent guessing.
Sprint
Weekly goals on a real business problem. You ship work, not attendance screenshots.
Mentor review
A scheduled review every week. You get written notes on what to fix before the next sprint.
Capstone
A portfolio piece you present: analysis pack, pipeline, or model — with assumptions written down.
Career prep
Interview walkthrough of your project, résumé notes, and how to talk about the work honestly.
Client stories
What interns say
I walked into interviews with a pack I had presented. That changed the conversation.
The weekly review was strict. I stopped submitting “almost done” work.
They treated us like junior analysts, not students watching videos.
Help centre
Frequently Asked Questions
Is this remote?
Yes. Internships are remote-first, with live mentor sessions on a published calendar.
Is it paid?
Terms are confirmed per cohort. Some tracks include a stipend; others are project-based learning with a certificate and portfolio. We state this clearly before you accept.
How many hours per week?
Plan for 15–20 focused hours. Full-time blocks can be arranged for a shorter calendar.
Do I need a degree?
No. We look for evidence you can finish work: a small project, coursework, or a clear note on why this track.
Apply for the Data Analyst internship
Share your background and preferred start month. We will confirm the next cohort and whether the track is a fit.
Contact us