Key Responsibilities:

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.

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.

- Drive improvement in the speed and quality of decision-making across the organisation through data clarity, consistency, and accessibility.

Qualifications & Experience:

- 2-8 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.