Posted:3 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About Us

We are one of India’s leading lifestyle retailers in the footwear and fashion space, offering a diverse portfolio of homegrown and international brands.

Role Overview

Insight Manager

Key Responsibilities

  • Lead the development of business insights in areas such as promotion effectiveness, elasticity, and customer engagement.
  • Define and operationalize KPIs that measure customer lifecycle health, retention, and loyalty.
  • Own and prioritize the analytics backlog, balancing quick wins with deep-dive strategic analyses.
  • Manage and mentor a team of 2 analysts, guiding them in methodology, prioritization, and problem-solving.
  • Explore and pilot AI/ML tools to improve customer segmentation, churn prediction, and self-serve analytics.
  • Collaborate with IT and data engineering teams to strengthen data infrastructure, governance, and quality standards.
  • Ensure clear, actionable communication of insights to leadership and cross-functional teams.

What We’re Looking For

  • 6+ years of experience in

    business insights, analytics, or customer intelligence

    , preferably in B2C retail, lifestyle, or e-commerce.
  • Strong track record in building and operationalizing

    customer metrics (e.g., retention, repeat, churn, CLTV)

    .
  • Hands-on expertise with analytics tools, dashboards (Power BI, Tableau, or similar), and SQL.
  • Experience in leading a small analytics team or mentoring analysts.
  • Exposure to

    AI/ML applications in CRM

    such as churn prediction, propensity models, and uplift modeling is a strong plus.
  • Strong stakeholder management and communication skills to translate data into business action.

Why Join Us

  • Be the

    custodian of insights

    at a leading lifestyle brand.
  • Shape customer retention, loyalty, and engagement strategy with data at the core.
  • Lead high-visibility projects that directly impact growth and revenue.
  • Work in a culture that values innovation, ownership, and data-driven decision-making.

Interested?

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