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GoMeasure Campus
Entry-level talent network
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Data & Analytics

BI Analyst

₹4–9 LPA
Entry level · 0–1 years · Hybrid · Gig or permanent · Indicative CTC, India
In demandHiring at volume. One of the largest graduate intakes in the Indian market by number of openings, recruiting from a wide set of campuses — more doors, and more realistic odds, than the selective tracks.AI-exposedAI is changing what this role does day to day. The work is not disappearing, but what employers screen for is shifting — from producing output to verifying it and owning the decision.
Capability
ModellingVisualisationMetric design
Disposition & behaviour
ConscientiousnessScepticismExplaining to non-experts
Take the qualification testQualify once. Your verified profile goes to employers hiring for this role.

GoMeasure Platform runs GoMeasure Campus — a talent network for final-year students and new graduates, where what you can do is measured from real work rather than claimed on a CV.

We’re looking for BI Analysts to join this network ahead of the placement cycle. Build dashboards and reporting layers, and decide which metric actually answers the question asked.

You’ll take one qualification test covering modelling, visualisation, metric design, build a verified profile, and go to the employers hiring into this track — typically ₹4–9 LPA at entry level.

Role summary

Build dashboards and reporting layers, and decide which metric actually answers the question asked.

What you will do

In the first six months

  • Build and maintain dashboards people actually open
  • Work out which metric answers the question being asked, which is rarely the one requested
  • Fix the data problems that surface the moment a dashboard is used in anger
  • Document definitions, because two teams counting differently is the most common BI failure

By twelve to eighteen months

  • Own a reporting layer and the metric definitions behind it
  • Retire dashboards nobody uses, which is harder and more valuable than building new ones
  • Work with data engineering on the models your reports depend on

Required skills

SkillWhat good looks like at entry level
SQLThe foundation. Most BI problems are query problems wearing a visualisation.
A BI toolPower BI or Tableau to working standard. Which one matters less than understanding the data model underneath it.
Metric designDefining 'active user' or 'on-time delivery' precisely enough that two teams get the same number. Unglamorous and the single highest-value thing you will do.
Visualisation judgementChoosing a chart that answers the question rather than one that looks impressive. Knowing when a table beats a graph.
ExcelAdvanced spreadsheet work remains part of the job in most organisations, whatever the BI platform.

Disposition & traits

Skills describe what someone can do when they try hardest. Disposition describes what they typically do — and over a first year, that second question predicts as much as the first. For this track the dispositions that matter most are:

  • Conscientiousness
  • Scepticism
  • Explaining to non-experts
How to read these. Higher is not automatically better — a disposition that helps in one role works against another. These are not a pass mark, not trainable in the way a skill is, and never reported on their own.

What the hiring bar looks like

Compiled by GoMeasure from publicly available accounts, October 2026.

Employer typeWhat they screen for
GCCs & in-house teamsAptitude, then a practical exercise on SQL and a BI tool, then a discussion of a dashboard you have built.
IT services & consultanciesStandard assessment with BI allocation decided after joining.

Eligibility — who actually gets to apply

Less competitive than data science for the same underlying skills, and the route in is more predictable. Reporting and MIS roles sit at the lower end of the analytics pay band, but the progression into analytics engineering or data engineering is well trodden.

Eligibility is set per drive and your placement cell’s notice is what actually applies on your campus. One trap worth knowing: a 6.0 CGPA is not always 60%. Where a university converts with (CGPA − 0.75) × 10, a 6.0 is 52.5% — below most employers’ floor. Check which formula yours uses before assuming you qualify.

And on the package: CTC is not take-home. A ₹4 LPA offer lands nearer ₹28,000–32,000 a month once provident fund, gratuity and tax come out, and offers with a large variable or joining-bonus component differ more again. Compare offers on fixed monthly pay, not on the headline. On-campus mass recruiters rarely move off a standard package; startups, GCCs and mid-size firms hiring off-campus often have some room.

Who should apply

Graduates whose degree and interests line up with the work above. Eligibility aside, employers in this track screen on demonstrated capability more than on which campus you attended.

This role is probably not for you if you want modelling and prediction work. BI is about describing what happened accurately, which is a different discipline from forecasting what will.

Evaluation notice

Results are shared with the student and, with consent, with employers hiring into this track. Scores carry the evidence and the assessment date. Practice and assessed sessions are clearly distinguished before either begins.

What you get back

The outcome of qualifying is a report, not a pass mark. Three layers, each scored and reported separately — there is no single number, deliberately, because a composite hides the trade-off an employer actually needs to see.

01 · Capability

What you can do at your best

Role-specific skills and real work, placed on a proficiency level with the evidence attached.

ModellingVisualisationMetric design
02 · Disposition

What you typically do

How you tend to work, and the judgement you show in realistic situations. Not a pass mark, and higher is not automatically better.

ConscientiousnessScepticismExplaining to non-experts
03 · Alignment

What you are optimising for

What you want from work, and whether a role supplies it. Read as fit rather than quality.

Fit, not good or bad
Who sees it

Every layer carries its own score, its weighting and the date it was assessed — and you see the same report the employer does. The report is shared with employers hiring into this track, with your consent, and you can withdraw it. Individual employers are named on the drive itself, once that employer is participating.

Retaking the test

One qualification attempt per track, with a retake available after one to two months. The wait is deliberate: a retake a week later measures how well you remember the test, not whether anything changed. The gap is long enough for preparation against your reported gaps to actually show.

Get placed in this track

One qualification test puts you in the talent pool for this role, with a verified profile that employers can act on — instead of a CV that looks like every other CV in the stack.

Join the talent pool