Insights & Analytics Manager -Upto 15LPA

2 days ago

Bengaluru, Karnataka, India Talentiser Full time

We are Hiring for D2C Startup in Bangalore 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.

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