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, what's 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.
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.
