Power BI

3 days ago

Thrissur, Kerala, India Linen Trail Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Linen Trail is India's Quiet Luxury Linen Label — a slow fashion brand crafting 100% Pure Linen apparel for men. We are a digital-first D2C brand with a decade-long legacy of craftsmanship, innovation, and data-led decision-making.

We are now building our internal
Data & Insights function
to drive the next phase of growth through deep analytics on product, order, and customer behaviour.

Role Overview

We are looking for a
Data Analyst
experienced in
Power BI
who can help build an insights engine for Linen Trail. You will work closely with the marketing, operations, and product teams to design data models and dashboards that track everything from top-performing fabrics and fits to customer retention and repeat patterns.

Key Responsibilities

Product-Level Insights

  • Build dashboards to track
    sales by product
    ,
    color
    ,
    fabric
    , and
    size
    , identifying bestsellers and slow movers.
  • Map
    fabric consumption vs. inventory
    to aid predictive manufacturing.
  • Identify
    top 20% products contributing 80% of revenue
    and recommend "Just Before Time" manufacturing volumes.

Order-Level Insights

  • Analyze
    daily/weekly/monthly order trends
    , average order value, and contribution by channels.
  • Track campaign performance vs. revenue and profitability (Meta, Google Ads, Email, WhatsApp).
  • Identify patterns in
    cart abandonment, discounts, and return rates
    .

Customer-Level Insights

  • Create
    customer segmentation
    based on frequency, recency, and spend (RFM).
  • Track
    repeat rate, lifetime value (LTV)
    , and
    customer acquisition cost (CAC)
    .
  • Build cohorts to analyze retention and customer journey (first purchase → repeat → loyalist).
  • Integrate data from
    Shopify, Contlo, and CRM tools
    for unified customer intelligence.

Requirements

  • 2–3 years of experience in
    Power BI
    (DAX, Power Query, data modelling).
  • Strong skills in
    SQL, Excel
    , and data transformation.
  • Experience connecting Power BI with
    Shopify, Meta Ads, Google Ads, and Google Analytics
    APIs or exported data.
  • Understanding of
    e-commerce KPIs
    (AOV, ROAS, retention, CAC, LTV, RFM, etc.).
  • Ability to independently design dashboards, automate data refreshes, and communicate insights to non-technical teams.

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