Data Insights Expert

2 days ago

India beBeeDataAnalyst Full time US$ 1,04,000 - US$ 1,30,878
Job Title: Data Analyst

We are seeking a highly skilled and experienced Data Analyst to join our team. As a Data Analyst, you will be responsible for transforming data into actionable insights that drive growth.

  • 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.

Required Skills and Qualifications:

  • 5–7 years of experience in analytics, preferably in eCommerce or consumer DTC, with proven impact on conversion and revenue.
  • Expert SQL skills and comfort working in BigQuery (or similar cloud warehouses).
  • BI 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.

Benefits:

  • Fully Remote Work
  • USD Salary
  • USD 50 for health insurance payment
  • 30 days of pay time off per year
  • The possibility of being selected for annual bonuses based on business performance and personal achievements

What will make you stand out:

  • Experience with Shopify, Recharge (subscriptions), and Klaviyo (lifecycle/CRM) datasets.
  • Hands-on with marketing attribution (rules-based + data-driven), MMM, or causal inference.
  • Familiarity with GA4 analytics engineering tools; comfort reviewing tracking specs/GTM.
  • Exposure to AI/ML use cases (propensity scoring, next-best-offer, demand forecasting).
  • Prior impact in a high-growth eCommerce environment, with measurable wins (CRO, CPA/LTV).

Follow us here on LinkedIn to stay updated on more global remote opportunities in data, marketing, and eCommerce.

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