Insights & Analytics Manager- D2C- Upto 15LPA

We are Hiring for Startup in Gurgaon for Insights & Analytics Manager.

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.
• Contribute to the design and evolution of internal data platform, ensuring scalability and reliability.

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.
• Continuously simplify and speed up insight delivery using AI and automation tools.

3. Decision Models & Applied Analytics

• Design and deploy analytical and predictive models that improve business performance — including, but not limited to:
• Discounting & pricing frameworks to balance margin and conversion.
• Customer segmentation & profiling models for better targeting and retention.
• Recommender or product-matching systems for on-site and CRM personalisation.
• Promise-date & SLA models to dynamically assign & monitor delivery performance.
• Inventory & replenishment models to optimise stock turns and vendor cycles.
• Search and discovery analytics to improve relevance and reduce zero-result queries.
• Translate model outputs into clear playbooks and partner with internal teams to operationalise them.

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.
• Clear communicator who can translate data into stories and decisions for internal teams.