Data Insights Specialist

2 days ago

Tirupati, Andhra Pradesh, India beBeeAnalyst Full time US$ 1,00,000 - US$ 1,50,000
Data Analyst Job Description

We are seeking a skilled Data Analyst to drive business growth through data insights. As a key member of our team, you will be responsible for transforming data into actionable insights using GA4, Shopify, BigQuery, and BI tools like Looker Studio.

Key Responsibilities:
  • Transform data into actionable insights using GA4, Shopify, BigQuery, and BI tools like Looker Studio.
  • Build and maintain automated dashboards in Looker Studio to ensure clarity, timeliness, and data quality.
  • Partner with Growth/Finance 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.
  • Ensure data integrity and governance across structured and unstructured datasets.
  • Collaborate with Product, Marketing, Lifecycle/CRM, and Engineering teams to translate business questions into analysis and decisions.
Required Skills and Qualifications:
  • 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.
  • Clear storytelling with data, executive-ready summaries, and practical recommendations in a fast-paced environment.
Preferred Skills:
  • 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).

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