Data Analytics Talent Pool in Pune
700+ registered early-career data analytics candidates in Pune — 696 with an uploaded resume.
Counted live from our candidate database · updated 4 Aug 2026
Hiring data analytics candidates in Pune: what you're actually working with
Data analytics draws the widest degree mix of any pool — engineering, commerce, statistics and management candidates all compete for the same roles. That breadth means volume is never the constraint; screening for genuine SQL fluency, rather than a certificate, is. Analytics GCCs in Bengaluru, Hyderabad, Pune and Gurugram hire this pool in cohorts.
Pune is one of the 25 hiring locations we maintain a dedicated Data Analytics pool for. The 700+ candidates in this pool are those whose home city or stated preferred work location is Pune — so this is a supply figure for hiring into Pune, not a national number filtered down for display.
What this pool looks like right now
Read from candidate profiles, not from a brochure. Everything below refreshes every six hours.
Skills present in this pool
Declared by candidates on their own profiles.
Where else this talent sits
Candidate home city or stated preferred work location.
Graduating batches
Plan a 2027 cohort in 2026 — filter by batch in the Talent Desk.
Institutions represented
Colleges with the most candidates in this pool, as entered by candidates.
Degrees in this pool
We do not filter on degree unless your requirement asks us to.
Roles employers hire into
Typical early-career titles for this pool.
- Data Analyst Intern
- Business Analyst Intern
- MIS Executive Trainee
- Reporting Analyst
- Graduate Data Analyst
Tell us your hiring requirement.
We'll tell you who's available.
Don't post a job and wait. State what you need and see the live size and shape of the matching talent pool — before you commit to a hiring plan.
How to screen this pool
Volume is rarely the constraint in data analytics hiring — signal is. These are the screens that separate a hireable candidate from a well-formatted résumé.
- Live SQL — joins, window functions, aggregation, not slideware
- A dashboard the candidate built end to end from raw data
- Ability to state what a chart means for the business
- Excel depth is still a real differentiator in BFSI and operations
How the process runs
Four steps from requirement to shortlist. You never write a job description.
- 1
State the requirement
Role, volume, Pune and graduating batch — in plain English.
- 2
See the matching pool
A live count plus the city, batch and college split of who matches.
- 3
Request the shortlist
Verified profiles with resumes and contact details, ranked by fit score.
- 4
Run your process
Interview and close. Next cycle, change the batch year and repeat.
Candidate availability, honestly
We derive availability from real platform activity rather than a self-declared field. Active in the last 14 days reads as actively looking, within 45 days as open to offers, and beyond that as passive. Shortlists are weighted towards candidates who will actually reply to you.
Hire data analytics candidates in Pune
Tell us the volume, the cities and the graduating batch. Our talent desk comes back with a matched shortlist — verified profiles, resumes and contact details.
- Data Analyst Intern through to Graduate Data Analyst
- Bulk and multi-city requirements as a single brief
- Batch-aware pipelines for 2026, 2027 and 2028 cohorts
- Campus & early-careers requirements answered first
Data Analytics hiring in Pune — questions answered
How many data analytics candidates are available in Pune?+
Our Data Analytics pool in Pune currently holds 705 registered early-career candidates, 696 of them with an uploaded resume. That figure is a live count from our candidate database, refreshed every six hours — not an estimate. Use the Talent Desk above to narrow it by graduating batch, specific skills or a tighter location and see the matching number instantly.
Which skills do data analytics candidates in Pune actually have?+
The most common skills declared by candidates in this pool right now are Python, SQL, Excel, MySQL, Power BI, JavaScript, Git, Pandas, Java, NumPy. These are read from real candidate profiles, so the list shifts as the pool changes. The skills we match a Data Analytics requirement against are SQL, Python, Power BI, Tableau, Advanced Excel, Statistics, Data Visualization, Pandas and related technologies.
Which graduating batches can I hire in Pune?+
Candidates in this pool graduate across 2030 (1), 2029 (6), 2028 (27), 2027 (155), 2026 (224), 2025 (102), 2024 (51), 2023 (37). Campus and university-relations teams typically build a pipeline one to two batches ahead — filter by batch in the Talent Desk to see exactly what is available for your target cycle.
How should we screen data analytics candidates?+
Live SQL — joins, window functions, aggregation, not slideware. A dashboard the candidate built end to end from raw data. Ability to state what a chart means for the business. Excel depth is still a real differentiator in BFSI and operations. Data analytics draws the widest degree mix of any pool — engineering, commerce, statistics and management candidates all compete for the same roles. That breadth means volume is never the constraint; screening for genuine SQL fluency, rather than a certificate, is. Analytics GCCs in Bengaluru, Hyderabad, Pune and Gurugram hire this pool in cohorts.
Which roles do employers hire from this pool?+
Most commonly Data Analyst Intern, Business Analyst Intern, MIS Executive Trainee, Reporting Analyst, Graduate Data Analyst. Candidates typically come from B.Tech (any), B.Sc Statistics, B.Com, BBA, MBA, M.Sc Data Science backgrounds, though we do not filter on degree unless your requirement asks us to.
Do I have to post a job to hire from this pool?+
No. This is a talent-access product, not a job board. You describe the requirement — role, volume, location and batch — and our talent desk returns matched candidate profiles with resumes and contact details. Job posting exists separately on MyInternships and is unaffected by this.
How is candidate availability determined?+
From real activity on the platform, not a self-declared status. Candidates who have been active in the last two weeks show as "actively looking", up to 45 days as "open to offers", and beyond that as passive. That means the availability signal on a shortlist reflects who will actually respond to you.
Can you also source data analytics talent outside Pune?+
Yes. Pune is one of 25 cities we maintain dedicated Data Analytics pools for, and we source pan-India including tier-2 and tier-3 locations. Multi-city requirements are handled as a single brief, and the Talent Desk shows you the city-by-city split before you commit headcount.