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Can Fin Homes

Data Analytics Associate

Job · Full-timeHybridPune, Maharashtra0–2 years51K/mo2 openingsImmediate / as per notice period
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About this role

Can Fin Homes has an opening for a Data Analytics Associate in Pune. If you enjoy digging into messy data, writing SQL that answers a real question and explaining the answer in plain language, this full-time data analytics role will suit you. About the role This Data Analytics Associate role is…

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Skills you'll use

SQLAdvanced ExcelPower BIData CleaningData VisualizationPython BasicsDescriptive StatisticsReportingData Quality ChecksDocumentationAnalytical ThinkingCommunication

What you'll do

  • Support recurring reporting and dashboard maintenance
  • Run data-quality checks and flag anomalies early
  • Prepare datasets for senior analysts and business teams
  • Answer ad-hoc data requests from business stakeholders
  • Document data sources, definitions and known caveats
  • Validate and reconcile numbers before publishing, and document data caveats
  • Automate recurring reporting to free up time for real analysis
  • Present findings clearly to non-technical stakeholders

Who can apply

  • B.E./B.Tech/BCA/MCA/B.Sc/B.Com/BBA or an equivalent degree from a recognised university
  • 0–2 years of experience in analytics, reporting or MIS — freshers and 2026 graduates are welcome
  • Working knowledge of SQL, Advanced Excel, Power BI
  • Comfort with SQL, Excel and Power BI and with cleaning messy, real-world data
  • Ability to define a metric precisely and explain a result to a non-technical stakeholder
  • Attention to detail, ownership and the discipline to document your work
  • Based in Pune, Maharashtra or willing to relocate

Perks & benefits

Annual performance bonus / variable payHealth insurance for you and your dependantsProvident Fund and statutory benefitsStructured onboarding and mentorshipLearning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidaysFlexible / hybrid working optionsModern analytics tooling and licensed BI seats

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  3. 3Case study / take-home assignment on a real dataset, with a walkthrough of your approach
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out

About Can Fin Homes

Can Fin Homes operates in the nbfc & lending sector and runs an active team in Pune. It is an established employer with a working analytics function — data is used to run the business day to day, not filed away in a quarterly deck. Industry and what the company does Can Fin Homes works in nbfc &…
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