Power BI
4 days ago
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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