Forma.ai Analytics Engineer Intern Pune 2026 — hybrid, rolling
Forma.ai
- Location
- Pune (hybrid)
- Last date
- 31 Dec 2026
- Qualification
- Degree-level student or recent grad with Python development, SQL and/or Pandas, experience building ETL/ELT pipelines.
- Age limit
- Not printed
- Vacancies
- Not numbered
- Pay / stipend
- Not printed for the intern role; company offers USD 750 (~INR 55k) yearly training stipend as a benefit
- Experience
- Student or recent graduate; experience with data pipelines preferred
- Application fee
- None
- Selection
- Apply on Greenhouse; interviews currently virtual
Official Details
Add to calendar
Last updated: 13 Oct 2026
Forma.ai Analytics Engineer Intern Pune 2026 is a live rolling requisition on the company Greenhouse board for India Campus. The role is based in Pune and follows a hybrid model (3 days office, 2 days home). You will turn customer business requirements into code for big data pipelines on a sales compensation platform. Official apply link: Greenhouse job 4235664005. No hard last date is printed. Apply only on the official card. Campus Reality does not take applications or fees.
About Forma.ai
Forma.ai is a Series B startup that designs, manages, and optimises sales compensation programmes. It handles billions in annual managed commissions for customers such as OpenTable, Stryker, and Autodesk. The Analytics and Data Science team sits between customers and engineering, configuring the platform for incentive programmes. The internship is with that team and reports toward the VP of Analytics and Data Science.
Nature of the role
This is a hybrid internship in Pune. Day-to-day work involves building and optimising code for big data pipelines, architectures, and data sets during new customer implementations. You convert business requirements into working code, work with SQL and/or Pandas, and build automated data ingestion and ETL/ELT pipelines. Communication across teams is part of the job. It is not a pure research seat and not fully remote.
Who applies and who skips
Apply if you are a degree-level student or recent graduate with hands-on experience in Python development, SQL and/or Pandas, and building automated data ingestion or ETL/ELT pipelines. Ability to communicate requirements across teams and a genuine interest in data work are expected. PySpark, Databricks, or API experience is a bonus.
Skip this card if you need a fully remote setup, if you have no prior pipeline or ETL experience, if you are looking only for a front-end or pure software engineering coding role without data work, or if the exact monthly stipend is the deciding factor (it is not printed on the intern requisition). Confirm you can attend the Pune office three days a week.
Dates, stipend, and fee
No fixed last date is printed. The card was open when checked in October 2026. Duration is not printed as a fixed number of months. The intern stipend amount is not printed on the official requisition. The company lists a USD 750 (approximately INR 55,000) yearly training stipend as a benefit for Formadillos, along with minimum vacation, healthcare coverage, and hybrid flexibility. Application fee is none. Interviews are currently conducted virtually. Confirm the live card before you apply.
Available positions
No category-wise vacancy split is printed on this notice.
1. Analytics Engineer Intern — stipend not printed
Eligibility criteria
Degree-level student or recent graduate. Experience in Python development. Experience working with SQL and/or Pandas. Experience building automated data ingestion and ETL/ELT pipelines. Ability to communicate business requirements across teams. Strong customer empathy and eagerness to learn. Nice to have: PySpark, Databricks, and API experience.
Location: Pune (hybrid — 3 days office, 2 days home). Vacancies: not numbered. Stipend: not printed for the intern role. Selection: apply with resume on the Greenhouse card; interviews currently virtual.
Educational qualifications
| Role | Qualification |
|---|---|
| Analytics Engineer Intern | Degree-level student or recent grad with Python, SQL/Pandas, and ETL/ELT pipeline experience. |
Selection stages
The official card does not print a detailed multi-stage process. You submit a resume through the Greenhouse form. The page notes that all interviews are currently being conducted virtually. Further steps are not described on the public page.
Free official prep links
- Forma.ai website
- Public Python and SQL tutorials for pipeline practice
- Public ETL concepts (extract, transform, load) before the interview
Apply steps
- Open the official Greenhouse card: job 4235664005.
- Prepare a PDF resume that shows Python, SQL, Pandas, or pipeline projects.
- Fill the form (education section is present) and submit. No fee.
- Check the email used on the form. The card can close while you wait.
FAQs
Is the stipend printed? No rupee monthly figure is printed for the intern role. A USD 750 yearly training stipend is listed as a company benefit.
Is it remote? No. Hybrid in Pune — 3 days from office, 2 days from home.
What is the last date? No hard close date is printed. Confirm the card is still open when you submit.
Do I need prior experience? Experience building ETL/ELT pipelines and working with Python plus SQL/Pandas is required.
See other open internships on the Campus Reality internships board. Apply only on the official company page. Dates and eligibility on the Greenhouse card win if they differ from this summary.
Stay safe: Campus Reality never charges you. Pay only the fee printed in the official notice, only on the official site (job-boards.greenhouse.io). Nobody can guarantee selection for money.
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