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Growth Analytics (Python/SQL/Tableau) | Fintech - Tier1/2
Growth Analytics (Python/SQL/Tableau) | Fintech - Tier1/2MetaMorph • Agra, IN
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Growth Analytics (Python / SQL / Tableau) | Fintech - Tier1 / 2

Growth Analytics (Python / SQL / Tableau) | Fintech - Tier1 / 2

MetaMorph • Agra, IN
2 days ago
Job description

JOB DESCRIPTION

Role Title : Assistant Manager / Manager – Growth Analytics

Reports To : Head – Growth

Function / Department : Consumer Finance – Growth

1. JOB PURPOSE

Identify, analyze, and interpret trends or patterns in complex data sets to develop a strong understanding of products, users, and acquisition channels.

2. PRINCIPAL ACCOUNTABILITIES

Marketing Analytics

  • Solve the three core problems of Growth Marketing : whom to target (propensity), how to target (channel), and when to target (timing) to optimize CAC.
  • Develop channel mix and testing strategies for campaigns in collaboration with internal teams.
  • Conduct exploratory analysis to identify new opportunities, form hypotheses, and quickly assess potential impact.
  • Partner with data engineering to build and enhance analytical tools and strengthen data infrastructure.
  • Analyze, forecast, and create custom reports to make key KPIs and insights accessible across the organization.
  • Monitor, optimize, and report on marketing / growth metrics and A / B test outcomes, and provide recommendations based on findings.
  • Present insights and analyses effectively to support data-driven decision-making.

3. MAJOR CHALLENGES

  • Need for strong analyst support to track and measure all D2C initiatives.
  • Consistent tracking of KPIs across marketing campaigns.
  • 4. SKILLS AND KNOWLEDGE

    Educational Qualifications

  • B.Tech from a Tier-1 or Tier-2 institute with 2–4 years of experience.
  • Work Experience / Skills

  • 2–4 years of relevant experience in analytical, numbers-driven marketing environments — such as online consumer businesses or financial services.
  • Strong data handling, interpretation, and problem-solving capabilities, with the ability to process large transactional datasets and convert them into actionable insights.
  • Technical skills : R / Python, SQL, Tableau, and advanced Excel (including Pivot Tables).
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