Data Insight Specialist

4 days ago

Rajahmundry, Andhra Pradesh, India beBeeAnalyst Full time ₹ 32,50,000 - ₹ 45,00,000
Business Insights Analyst

We are seeking a highly skilled Business Insights Analyst to drive data-driven growth. You will leverage industry-leading analytics tools to analyze conversion funnels, customer behavior, and marketing efficiency. Proficiency in SQL and working knowledge of Python for analysis/automation is required.

As a key member of our team, you will be responsible for building and maintaining automated dashboards, analyzing customer journey, and forecasting revenue. Your expertise in GA4, Shopify, and BigQuery will help us make informed decisions and drive business success.

  • Key Responsibilities:
  • Conversion & journey analytics: Build GA4 funnels, diagnose drop-offs (landing → ATC → checkout → purchase)
  • Dashboards & reporting: Build and maintain automated executive and team dashboards, 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.
Requirements:
  • 5–7 years in analytics (preferably 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.
  • Communication: Clear storytelling with data, executive-ready summaries, and practical recommendations in a fast-paced environment.

What sets you apart:

  • Hands-on experience with Shopify, Recharge (subscriptions), and Klaviyo (lifecycle/CRM) datasets.
  • Advanced understanding of marketing attribution, 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).

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