Power BI & Data Insights Executive – Linen Trail

3 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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.

Data & Insights function


Role Overview

Data Analyst


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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