Data Insights Professional

8 hours ago

Gandhinagar, Gujarat, India beBeeInsights Full time US$ 90,000 - US$ 1,15,000
Senior Business Insights Analyst

We are seeking a highly skilled data analyst with strong e-commerce analytics experience to transform data into actionable insights that drive growth and revenue. The ideal candidate will have expertise in Google Analytics 4, Shopify, BigQuery, and business intelligence tools such as Looker Studio.

The successful candidate will leverage their skills in SQL and Python for analysis and automation to analyze conversion funnels, customer behavior, and marketing efficiency. This includes building GA4 funnels, diagnosing drop-offs (landing → ATC → checkout → purchase), creating dashboards and reports, and providing forecasting and planning support.

The key responsibilities of this role include:

  • Conversion & journey analytics: Build GA4 funnels, diagnose drop-offs (landing → ATC → checkout → purchase)
  • Dashboards & reporting: Build and maintain automated executive and team dashboards in Looker Studio (or similar), ensuring clarity, timeliness, and data quality.
  • Forecasting & planning support: Partner with Growth/Finance to project traffic, conversion, and revenue; support demand planning with data-backed scenarios.
  • Data QA & governance: Validate GA4/Shopify events and schema changes; ensure metric definitions and documentation are consistent and trustworthy.
  • Cross-functional collaboration: Work with Product, Marketing, Lifecycle/CRM, and Engineering to translate business questions into analysis and decisions.

The successful candidate will have:

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

Above all, the successful candidate will be a clear storyteller with data, able to communicate effectively in a fast-paced environment.

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