Data Analyst

Recruitfy

Bengaluru

On-site

INR 700,000 - 1,000,000

Full time

14 days+

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Job summary

A growing wellness brand is looking for a hands-on Data Analyst to manage end-to-end analytics and derive actionable insights from data across multiple platforms. You will extract and analyze data, build automated pipelines, and create insightful dashboards using Power BI or Looker Studio. The ideal candidate should have 4-7 years of experience in e-commerce analytics, strong skills in SQL and Python, and a Bachelor's degree in a relevant field. This full-time role is based in Bengaluru, India.

Qualifications

  • 4–7 years of experience in e-commerce / D2C analytics.
  • Strong SQL skills including joins, CTEs, and window functions.
  • Hands-on experience with Python, especially Pandas and automation.

Responsibilities

  • Extract data from various platforms including ad channels and CRM.
  • Build and maintain automated ETL pipelines using Python and SQL.
  • Create dashboards in Power BI or Looker Studio.

Skills

SQL
Python
E-commerce / D2C analytics
Power BI
GA4
Automated pipeline and dashboard building

Education

Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics

Tools

Power BI
Looker Studio
BigQuery

Job description

Join to apply for the Data Analyst role at Recruitfy


Job Title: Data Analyst – E-commerce & D2C


Experience: 4–7 years


Reporting to: Head of E-commerce / Growth


Role Summary

Our client is a fast‑growing wellness / nutraceutical brand operating across major Indian marketplaces (Amazon, Flipkart, Nykaa, 1mg, Myntra) and D2C digital channels.


They are looking for a hands‑on Data Analyst to own end‑to‑end analytics — from data extraction and automation to dashboards and business insights that directly impact revenue, advertising efficiency, inventory, and profitability.


This is not a reporting‑only role.


Key Responsibilities


  • Extract data from marketplaces, D2C platforms, ad channels, CRM, and inventory systems

  • Build and maintain automated ETL pipelines using Python and SQL

  • Manage centralized data warehouse (BigQuery or similar)

  • Ensure data accuracy, refresh schedules, and reliability


Analytics & Metrics


  • Own key KPIs: ROAS, ACOS, TACOS, contribution margin, CLTV, CAC, retention, inventory health, revenue forecasts

  • Standardize metric definitions across teams

  • Build models for forecasting, profitability, and performance analysis

  • Build dashboards in Power BI / Looker Studio for:

  • Ads & PPC performance

  • D2C funnel & retention

  • Inventory and leadership views

  • Automate daily, weekly, and monthly reporting


Insights & Decision Support


  • Analyze pricing, keyword performance, ads efficiency, category trends, and customer behavior

  • Deliver actionable insights to E-commerce, Growth, Finance, and Leadership teams

  • Present insights clearly to non‑technical stakeholders


Required Skills & Experience

Must‑Have


  • 4–7 years of experience in e‑commerce / D2C analytics

  • Strong SQL (joins, CTEs, window functions)

  • Strong Python (Pandas, API integrations, automation)

  • Experience with Power BI or Looker Studio

  • Hands‑on experience with GA4, Shopify Analytics

  • Experience with Amazon Ads, Meta Ads, Google Ads

  • Experience building automated pipelines and dashboards


Good to Have


  • Experience with BigQuery or cloud data warehouses

  • FMCG / D2C / nutraceutical background


What the Client Is Looking For


  • Strong ownership and accountability

  • Structured, detail‑oriented thinking

  • Ability to work cross‑functionally in a fast‑paced environment

  • Bias toward automation and clean, reliable data


Education


  • Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or equivalent


Seniority level


  • Mid‑Senior level


Employment type


  • Full‑time


Job function


  • Other


Industries


  • Staffing and Recruiting

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