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Data Analyst

Engineering & Tech

Pull insights from data. SQL + Excel + dashboards. Entry point into analytics careers.

What they actually do

Data analysts query databases, build dashboards, write reports for business users. Less ML-heavy than data scientist; more day-to-day operational analytics. Strong entry-tier career into DS, BI, product analytics.

A typical day

  • SQL queries + data extraction
  • Tableau/Power BI dashboard building
  • Ad-hoc analysis for business teams
  • Weekly/monthly reporting
  • Stakeholder presentations

How to become a Data Analyst

2 viable paths.

  • Any bachelor's → Bootcamp/cert → Job

    Common. Coursera Google DA, Microsoft PL-300 certificates help.

  • BTech/BSc Stats → Job

    Direct entry via campus.

Qualifications

  • Bachelor's (any quantitative)
  • SQL + Excel + Tableau/Power BI

Skills that matter

  • SQL (advanced)
  • Excel (pivot tables, lookups, basic stats)
  • Tableau/Power BI/Looker
  • Communication + storytelling
  • Basic stats

Salary bands by experience

Wide bands — real salary depends on city, employer, performance. Pick the midpoint for planning.

  • Fresher₹3.5 - ₹8 LPA
  • Mid (3-5 yr)₹8 - ₹18 LPA
  • Senior (5-8 yr)₹15 - ₹30 LPA

Career growth + employers

Data Analyst → Senior Analyst → Analytics Manager → Director Analytics. Or pivot to DS, BI, Product Analytics.

Honest pros + cons

Pros

  • Lower entry barrier than DS/SDE
  • Skill compounds across industries
  • Strong pivot opportunities

Cons

  • Mid-career plateau if no specialisation
  • Reporting work can feel repetitive
  • Below DS pay at similar tenure

Demand outlook

Strong. Every company collecting data needs analysts. Entry-level a great launch.

Related careers

  • Data Scientist

    Turn data into decisions. Build ML/AI models that drive product behaviour at scale.