Data Analyst

1 - 4 years

3 Lacs

Posted:1 hour ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position: Data Analyst

Salary: As per experience
Location: Sector-27, Gurgaon
Working Days: 6 days (Monday to Saturday), 2nd Saturday Off
Work Type: Work From Office
Timings: 9 AM to 6 PM

About Divine Hindu

Divine Hindu is one of India’s fastest-growing spiritual D2C brands, featured in Forbes Select 200, serving customers across India and globally. We operate across e-commerce, offline retail, analytics, and content platforms — building the largest spiritual lifestyle ecosystem.

We are looking for a Data Analyst who is sharp, detail-oriented, and passionate about turning data into business insights that drive growth.

Key Responsibilities

1. Data Management & Reporting

  • Collect, clean, validate, and structure data from multiple sources (Shopify, ClickPost, Google Analytics, Ads Manager, retention tools, CRM, etc.)
  • Build automated daily/weekly/monthly dashboards for leadership (Sales, CAC, AOV, CR, ROAS, LTV, Repeat Rate, RTO, Delivery Metrics).
  • Maintain and optimize internal MIS trackers.

2. Business Insights & Analytics

  • Analyze e-commerce funnels: sessions → users → ATC → checkout → purchase.
  • Find patterns in customer behavior (Cohorts, RFM, segments, repeat purchase cycles).
  • Present insights on revenue trends, marketing performance, customer segments, and product performance.
  • Identify leakage points in the funnel and recommend improvements.

3. Marketing Analytics

  • Measure performance of Meta, Google, YouTube, Influencer & Retention campaigns.
  • Track CAC, ROAS, CTR, CPM, Frequency, CPV, CAC Payback.
  • Provide insights to improve campaign efficiency & scale profitable channels.

4. Product & Operational Analytics

  • Analyze product margins, top sellers, inventory health, pricing & discounting impact.
  • Work closely with Warehouse, Ops & Customer Experience for SLA, delivery time, NDR, RTO & return analysis.
  • Support leadership with decision-making dashboards for new store launches, product launches, demand forecasting.

5. Automation & Advanced Analytics

  • Build automated pipelines (Sheets → Tableau/Power BI → MIS).
  • Create predictive models for churn, lifetime value, and repeat buying patterns (optional but good to have).

Required SkillsTechnical Skills

  • Strong proficiency in Excel / Google Sheets (pivot, lookup, countifs, sumifs, array formulas).
  • Experience with SQL (preferred).
  • Knowledge of Tableau / Power BI / Data Studio.
  • Understanding of e-commerce analytics (AOV, CR, RTO, top funnels).
  • Comfort working with APIs, CSVs, dashboards, and large datasets.

Analytical Skills

  • Strong data interpretation ability with a business mindset.
  • Ability to convert raw data into actionable insights.
  • Problem-solving & structured thinking (MECE mindset).
  • Strong presentation skills (reports, decks, dashboards).

Tools You’ll Work With (Optional but preferred)

  • Shopify
  • Google Analytics
  • Meta & Google Ads dashboards
  • EasyInsights / CleverTap / MoEngage / WebEngage
  • ClickPost / Shiprocket
  • Excel-based MIS systems

Who Should Apply

  • 1–4 years of Data/Business Analyst experience (D2C/e-commerce preferred).
  • Freshers with strong analytical skills & projects may also be considered.
  • Someone who loves numbers and can work in a fast-paced startup.
  • High ownership, clarity of thinking, and bias for action.

Why Join Divine Hindu

  • Work directly with founders & leadership.
  • High-growth role with immense learning.
  • Freedom to experiment and improve systems.
  • Build the analytics backbone of a fast-scaling D2C startup.

Kindly share your resume at Ishikahr@divinehindu.in

Job Type: Full-time

Pay: Up to ₹30,000.00 per month

Benefits:

  • Health insurance

Application Question(s):

  • Current salary?
  • Expected Salary?
  • How soon can you join?
  • Are you comfortable with gurgaon location 6 days work from office?
  • What were your last roles and responsibilities?

Work Location: In person

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