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Data Analyst Intern

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Onsite

Data Analyst Intern

Fatakpay Digital

Data Analyst Intern

Skills

SQL QueriesTableauPythonData SciencepandasData AnalysisMachine LearningCommunication CampaignNLP / Natural Language ProcessingPower BI

1 month ago

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Important information


Contract type:

Internship

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

16 September 2026

What they need


Job Title: Data Analyst Intern
Department: Analytics
Location: Andheri,Mumbai

Company Type / Industry:
Employment Type: Fulltime
Salary Range: NA

Working Days / Shift Timing: 10am 7am (Monday to Saturday)
Grade Level: Executive
Reporting To: NA

About the Company

FatakPay is an RBI-registered fintech NBFC offering digital lending products including DCL Cards and Personal Loans. Our data team works at the intersection of credit, marketing, product, and operationssolving real problems with real production data.

Role Overview

We are looking for a Data Analyst Intern who is curious, hands-on, and comfortable working with large datasets in a fast-paced fintech environment. You will work directly with the data team across Marketing, Business, Product, and operations verticals — not just pulling data but owning end-to-end analysis and automation.

Key Responsibilities

  • Querying and analyzing large-scale loan application and user journey data using SQL and Python
  • Building automated daily reports and trackers for marketing campaigns, disbursement funnels, and operational workflows
  • Conducting funnel and cohort analysis for B2B and D2C user segments across DCL Card and PL products
  • Identifying data quality issues, stage sync bugs, and operational bottlenecks and escalating with evidence
  • Supporting credit and marketing teams with enriched datasets for campaign targeting and risk assessment

Eligibility / Qualification

  • Pursuing or completed a degree in Data Science, Computer Science, or related field
  • Strong working knowledge of SQL — must be able to write multi-join queries independently
  • Proficiency in Python with Pandas for data manipulation and analysis
  • Familiarity with Excel for reporting and data delivery
  • Ability to understand business context and translate it into analytical questions
  • Good communication skills to share findings clearly with non-technical stakeholders

Advantageous Skills

  • Exposure to Machine Learning or NLP concepts
  • Experience with Power BI or Tableau
  • Knowledge of fintech or lending domain
  • Familiarity with BigQuery or any cloud data warehouse

Benefits & Opportunities

  • Hands-on experience with production-grade fintech data across credit, marketing, operations, and product domains
  • Opportunity to build and own automated pipelines that go live and impact business outcomes

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