Falcon

Data Analyst

Location
Gurugram
Work mode
See listing
Experience
2–3 yrs exp
Pay
₹6–10 LPA (Est.)
Type
Full-time job, Developer
Added
3 November 2026

About this role

Falcon is an AI-first fintech platform that helps banks, NBFCs and financial institutions launch credit products such as credit cards, credit lines and lending. This Data Analyst role in Gurgaon supports banking reports, credit card analytics, data reconciliation and reporting. The analyst writes SQL and Python to clean and analyse large datasets, validates regulatory and banking reports, and investigates data discrepancies. They also build dashboards, automate recurring reports and document reporting logic. It suits analysts with about 2-3 years of experience in analytics, MIS or BI.

Falcon is hiring for Data Analyst, a full-time role based in Gurugram.

Who can apply: 2–3 yrs exp. Skills: SQL, Python, pandas, Excel, Tableau, Power BI.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Write and optimise SQL queries to extract, transform and analyse large datasets
  • Use Python (pandas, NumPy) for data cleaning, reconciliation and validation scripts
  • Prepare and validate banking, credit card and regulatory reports
  • Investigate data discrepancies and implement data quality checks
  • Build and maintain dashboards in Amazon QuickSight, Tableau or Power BI
  • Automate recurring reports and document reporting logic and validation procedures

What you need

  • Bachelor's degree in a relevant field
  • 2+ years of experience in data analytics, MIS reporting or business intelligence
  • Strong SQL, including joins, CTEs, aggregations and window functions
  • Good Excel skills, including lookups, pivot tables and reconciliation
  • Hands-on Python with pandas and NumPy, and visualization libraries such as Matplotlib, Seaborn or Plotly
  • Hands-on experience with QuickSight, Tableau or Power BI

Skills

  • SQL
  • Python
  • pandas
  • Excel
  • Tableau
  • Power BI

"Est." = Hirastra's estimate based on market data, not an official figure.

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