Senior Data Analyst

apartmentWeekday AI placeBangalore scheduleFull-time calendar_month 

This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA)
Min Experience: 2 years
Location: Bengaluru

JobType: full-time

As a Senior Data Analyst, you will play a key role in shaping credit, business, and collections strategies using data-driven insights. Working closely with leadership, you will craft and execute analytics-driven strategies to drive business growth and operational efficiency.

Requirements

Key Responsibilities:

  • Analyze business challenges and identify opportunities for improvement through data-driven insights.
  • Develop hypotheses, design testing frameworks, conduct analyses, and provide actionable recommendations.
  • Oversee project execution, ensuring operational feasibility, successful implementation, and tracking outcomes.
  • Mentor and guide junior analysts while ensuring timely delivery of projects.

What You Can Expect:

  • An opportunity to work in a fintech company where data-driven decision-making is at the core.
  • A challenging and dynamic environment alongside one of the best analytical teams in the industry.
  • Exposure to a fast-growing organization with ample learning and growth opportunities.

What We’re Looking For:

  • Strong Coding Skills: Proficiency in Python (mandatory) and SQL for data analysis and query development.
  • Project Management: Ability to independently execute projects, mentor junior analysts, and ensure timely completion.
  • Strategic & Analytical Mindset: Strong logical, analytical, and reasoning skills with a rigorous quantitative approach.
  • Self-Driven & Innovative: Passion for leveraging cutting-edge techniques to drive data-driven decision-making and team development.
  • Collaborative & Communicative: Excellent communication skills and the ability to work effectively in cross-functional teams.

Preferred Qualifications & Experience:

  • 2 to 5 years of experience in data analytics, business strategy, risk, or collections.
  • Bachelor's or Master’s degree in Engineering, Math, Statistics, Economics, or Operations Research from a Tier 1 institution.
  • Experience in a fintech or similar data-driven industry is preferred.

Key Skills:

  • Python
  • SQL
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