Senior Manager, Product Analytics
@ EarnIn

Bengaluru, Karnataka, India
$150,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX******* @earnin.com
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Job Details

About EarnIn

EarnIn is a pioneering earned wage access company, delivering real-time financial flexibility for those living paycheck to paycheck. With experienced leadership and world-class funding partners including A16Z, Matrix Partners, DST, and Ribbit Capital, EarnIn offers a tremendous runway for growth.

Position Summary

The Senior Manager, Product Analytics will lead a team of 5+ talented analysts to drive data-informed decision-making. You will define the analytics strategy, mentor the team, and collaborate across Product, Engineering, Design, and Operations to translate business needs into actionable insights. This role is hybrid from our Bengaluru office, with opportunities to work with our Mountain View, CA HQ.

What You'll Do

  • Team Leadership & Mentorship: Hire, coach, and develop a high-performing analytics team.
  • Analytics Strategy & Execution: Define the vision, key metrics, and reporting standards.
  • Hands-On Analysis: Perform deep-dive analyses and build critical dashboards.
  • Cross-Functional Collaboration: Partner with product, engineering, and marketing leaders to drive data-based decisions.

What We're Looking For

  • 5+ years in analytics with 2+ years in management.
  • Strong technical skills in SQL, Python, and data visualization tools (Looker, Tableau, Mode).
  • Excellent communication and storytelling abilities.
  • Experience in fintech or data-driven product organizations is preferred.

Key Skills/Competency

  • Analytics
  • Data Visualization
  • SQL
  • Python
  • Team Leadership
  • Mentorship
  • Strategy
  • Cross-Functional Collaboration
  • Data Modeling
  • Fintech
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How to Get Hired at EarnIn

🎯 Tips for Getting Hired

  • Customize your resume: Highlight analytics leadership and technical skills.
  • Demonstrate impact: Show measurable achievements in previous roles.
  • Prepare examples: Be ready with real data analysis scenarios.
  • Research EarnIn: Understand their fintech mission and funding background.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and optimization techniques.
Practice Python coding for data analysis.
Build dashboards with Tableau or Looker.
Study modern data stacks and pipelines.

Behavioral Questions

Describe a time you led change effectively.
Explain how you prioritize team tasks.
Share an example of cross-functional conflict resolution.
Discuss how you mentor team members.

Frequently Asked Questions