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Business Intelligence Engineer

GoSats

Bengaluru, Karnataka, IndiaFull-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
Bengaluru, Karnataka, India
Schedule
Full-time
Work Authorization
Not specified

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Job overview

GoSats is India’s simplest onramp to assets, helping millions convert everyday spending into Bitcoin and Gold. Backed by prominent investors, the company is scaling rapidly to become the default wealth‑building tool for mainstream India.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonBigQuerySnowflakeRedshiftLookerMetabaseTableauMixpanelPowerBISegmentFirebaseFintech or Payment Company ExperienceFraud or Risk DashboardsCohort Analysis and Retention Modeling

Qualifications

3+ Years BI Engineering Experience

Full job description

DISCLAIMER - AI Generated messages will automatically lead to your profile not being considered. Talk to us like how you would talk if we met over coffee. GoSats is India's simplest onramp to assets. We help lakhs of Indians convert their everyday spending into Bitcoin and Gold - building long-term wealth through a habit they already have: spending money. Backed by Konvoy , Y Combinator, Accel and others, we recently closed our $5M Series A and are scaling rapidly toward becoming the default wealth-building tool for mainstream India. About the Role: You will be the architect of data infrastructure at GoSats. You will build the data pipelines, warehouses, and dashboards that every team relies on for decisions. You will partner with product, growth, finance, and ops teams to surface insights. You will own data quality, freshness, and accessibility. Required Skills:

  • 3+ years as a BI Engineer, Analytics Engineer, or Data Engineer
  • Strong SQL and Python
  • Experience with data warehouses (BigQuery, Snowflake, Redshift)
  • Has built dashboards in Looker, Metabase, Tableau, Mixpanel or PowerBI
  • Comfort with event analytics (Mixpanel, Segment, Firebase)

Bonus:

  • Experience at a fintech or payment company
  • Has built fraud or risk dashboards
  • Familiarity with cohort analysis and retention modeling

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