Senior Data Insight Specialist

19 hours ago

Thrissur, Kerala, India beBeeData Full time US$ 1,00,000 - US$ 1,20,000
Job Opportunity

We are seeking a Data Analyst with strong eCommerce analytics experience to transform data into actionable insights that drive business growth and revenue.

  • Create advanced analytics solutions using GA4, Shopify, BigQuery, and BI tools (e.g., Looker Studio) to drive strategic decision-making.
  • Design dashboards and reports in Looker Studio or similar tools, ensuring clarity, timeliness, and data quality for stakeholders.
  • Collaborate with Growth/Finance teams to project traffic, conversion, and revenue; support demand planning with data-backed scenarios.
  • Validate GA4/Shopify events and schema changes; ensure metric definitions and documentation are consistent and trustworthy for analysis purposes.
  • Cross-functional collaboration: Work with Product, Marketing, Lifecycle/CRM, and Engineering teams to translate business questions into analysis and actionable decisions.

Key Qualifications

  • 5–7 years in analytics (preferably eCommerce or consumer DTC), with proven impact on conversion and revenue through effective data analysis.
  • Expert SQL skills and comfort working in BigQuery or similar cloud warehouses for data extraction and manipulation.
  • BI proficiency: Looker Studio, Tableau, or Power BI—able to design crisp, self-serve dashboards that meet business needs.
  • GA4 expertise: Event modeling, custom dimensions, funnels, UTMs, exploration reports; ability to reconcile GA4 with platform data for accurate analysis.
  • Scripting for analysis/automation: Python or R for data wrangling, notebooks, and lightweight jobs to streamline processes.

What Sets You Apart

  • Experience with Shopify, Recharge (subscriptions), and Klaviyo (lifecycle/CRM) datasets for deeper analysis.
  • Hands-on experience with marketing attribution (rules-based + data-driven), MMM, or causal inference techniques.
  • Familiarity with GA4 analytics engineering tools and comfort reviewing tracking specs/GTM for accuracy.
  • Exposure to AI/ML use cases (propensity scoring, next-best-offer, demand forecasting) for predictive analytics.

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