Insights & Analytics Manager- D2C- Upto 15LPA

We are hiring for Analytics role for D2C Startup someone who has experience in Google Analytics.

1. Data Foundations & Governance

• Partner with data engineering to ensure clean, complete, and up-to-date data across Shopify, GA4, Ad platforms, CRM, ERP systems. .
• Define and maintain the KPI framework (ATC, CVR, Checkout/ATC, AOV, Repeat, Refunds, LTV, CAC) and document metric logic.
• Oversee pipeline monitoring, QA checks, and naming taxonomies to preserve trust in data used by all teams.

2. Reporting, Dashboards & Automation

• Build and automate single-source dashboards for category, marketing, sourcing, fulfilment, and product teams, with 80%+ automation of recurring reports.
• Integrate APIs and automate data flows to unify information from multiple sources; set up anomaly alerts and executive summaries.
  
• Create clear visual stories that make complex performance data actionable for stakeholders.

3. Decision Models & Applied Analytics

• Design and deploy analytical and predictive models that improve business performance including, but not limited to:
• Customer segmentation & profiling models for better targeting and retention.

4. Insights & Actionability Layer

• Move beyond reporting to diagnose why metrics shift - why conversion dipped, why repeat rose, whats driving refund rates.
• Form and validate hypotheses with stakeholders; run deep-dives and quantify root causes.
• Deliver weekly or monthly Insight-to-Action levers with prioritised recommendations for each function.

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Qualifications & Experience

• 4-6 years of experience in analytics or product insights within e-commerce / D2C / retail.
• Strong proficiency in SQL and Python ability to query, automate, and model.
• Hands-on with GA4 and GTM, including event setup, tagging, and behavioural analysis.
• Familiar with dashboarding tools such as Looker, Data Studio, or Power BI.
• Working knowledge of CRM or customer engagement platforms (Klaviyo, WebEngage, MoEngage) preferred.
• Comfortable with data-flow automation and basic API / ETL concepts.
• Strong grasp of e-commerce KPIs and customer metrics - Conversion, Repeat Rate, AOV, Basket Size, OTF etc.
• Demonstrated use of AI or scripting tools to streamline everyday analytics tasks.