Insights & Analytics Manager- D2c- Upto 15lpa
TalentiserRepublic Of India, IN1 day ago
Job descriptionBuild 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; Create clear visual stories that make complex performance data actionable for stakeholders. 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. Move beyond reporting to diagnose why metrics shift - why conversion dipped, why repeat rose, what’s driving refund rates. Form and validate hypotheses with stakeholders; Deliver weekly or monthly Insight-to-Action levers with prioritised recommendations for each function. 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.
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
set up anomaly alerts and executive summaries.
3. Decision Models & Applied Analytics
4. Insights & Actionability Layer
run deep-dives and quantify root causes.
Qualifications & Experience
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Manager • Republic Of India, IN
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