Forma.ai is accepting applications for Analytics Engineer Intern in Pune. The role involves turning customer business requirements into code and supporting data pipelines used in customer implementations. Jobsii checked the official employer recruitment feed and live application form on 15 October 2026. This is a technical internship requiring relevant skills, not an advertised no-experience data-entry role.
The listing describes a hybrid model with three days in the office and two days working from home. It does not offer unrestricted remote work from any location. Internship duration, joining date, deadline and vacancy count are not disclosed. Monthly intern compensation and an explicit paid or unpaid classification are also not stated in the checked vacancy.
Forma.ai asks for experience developing in Python, working with SQL and/or Pandas, and building automated data-ingestion and ETL/ELT pipelines. Applicants should communicate business requirements across teams and demonstrate customer empathy, interest in data and willingness to learn. The posting does not specify a minimum number of years of professional experience, but it does expect practical familiarity with these areas.
PySpark, Databricks and API experience are described as bonuses rather than mandatory requirements. No specific degree, graduating batch, college category or academic cut-off is published. However, the application asks for Class 10 and Class 12 percentages, graduation CGPA and branch. These fields must be completed accurately; the absence of a stated cut-off does not establish automatic eligibility.
The role reports to the Vice President of Analytics and Data Science and participates in new customer implementations. Work involves building and optimising code for data pipelines, architectures and datasets from different industries. The Analytics and Data Science team connects customers with Engineering and helps configure the platform for customers' incentive compensation programmes.
The description refers to internal and external APIs and interfaces used by internal teams. It emphasises understanding customer businesses before translating their requirements into implementation. This is therefore not just a dashboard-design opportunity or a general machine-learning internship. Applicants should be prepared to discuss how data moves through a system and how business rules affect processing.
The vacancy mentions a $750 yearly training stipend under learning and development. That is an annual training benefit, not disclosure of the intern's monthly salary or cash stipend. Its dollar currency code and payment or reimbursement conditions are not specified. Do not treat the amount, or the page's approximate rupee conversion, as guaranteed monthly earnings.
The page also describes healthcare coverage, leave and other benefits. Ask which provisions apply to this internship, how eligibility and any pro-rating work, and whether training expenses require approval. Obtain written confirmation of actual intern compensation, payment dates and applicable benefits before accepting. Jobsii does not infer that an internship is paid solely because an annual learning benefit is mentioned.
The advertised pattern is three office days and two home days. Applicants need to assess whether they can attend the Pune office rather than assuming the home-working component permits living elsewhere indefinitely. The vacancy does not specify the office address, fixed attendance days, daily hours, equipment arrangements, relocation assistance or travel reimbursement. Clarify these details with the recruiting team.
The checked description says interviews are currently conducted virtually. That describes the recruitment process, not a fully remote internship. No interview rounds, assessment syllabus, selection timeline or conversion promise is published. Internship length and start date remain undisclosed, so do not interpret another company's six-month programme or a similar role's schedule as applying here.
Open the employer-hosted Greenhouse vacancy linked below and complete its application form. The checked form requires first name, last name, email, phone and resume, plus academic information and home location. Enter Class 10 and Class 12 percentages as numbers from zero to 100 without a percentage sign, as instructed in the form.
Graduation CGPA is requested on a scale of one to ten, and branch is a required field. If your institution uses a different grading system, seek clarification rather than inventing a conversion. Check your documents for consistent marks and dates. Jobsii does not collect this application, submit answers or decide whether a candidate meets Forma.ai's selection criteria.
Apply while the official form remains available; no closing date is stated. Keep any submission acknowledgement and recheck the live vacancy before submitting. Do not send confidential project files or private employer data to strengthen your resume. A public portfolio should contain only material you own or are authorised to share.
The following suggestions are independent editorial guidance, not additional employer requirements or a confirmed interview syllabus. Build a small practice pipeline using synthetic or openly licensed data. Show the source, ingestion step, transformations and output. Explain the purpose of each stage and keep the example simple enough that another person can understand and reproduce it.
Include checks for missing values, duplicate identifiers and unexpected types. Describe what happens when a source changes or a run fails halfway through. Avoid silently replacing invalid data with plausible values. A useful demonstration makes limitations visible and explains recovery decisions instead of merely showing a successful output from one clean input file.
Choose a transformation you can implement clearly in Python and explain how SQL or Pandas could support it. Practise joins, grouping and filtering with a small dataset whose expected results you can calculate manually. Pay attention to duplicate rows and missing matches. These are suggested exercises, not claims about specific questions Forma.ai will ask.
For a fictional incentive calculation, distinguish the supplied business rule from assumptions you introduced. Explain which fields affect the result, how exceptions are handled and what requires customer confirmation. Do not present your example as financial advice or as Forma.ai's actual calculation method. The aim is to demonstrate careful translation of a requirement into understandable code.
Pick genuine project examples showing your personal contribution, debugging process and communication with others. Distinguish coursework from paid employment and describe team outcomes without claiming sole ownership. If an API or data tool is new to you, say so and explain what you have learned. Bonus technologies should not encourage exaggerated experience on an application.
Before accepting, clarify compensation first, then duration, start date and the Pune attendance schedule. Ask how mentorship, feedback and project responsibilities are organised and which listed benefits apply to interns. Make your decision using confirmed terms, not an assumed salary, training-budget conversion or guaranteed permanent role. Recheck the official listing because recruitment conditions can change.
Official Forma.ai Analytics Engineer Intern vacancy and application
Review the role details, deadline, and work mode before applying. Jobsii tracks the apply action so candidates can keep application history inside their dashboard.
