Python Data Analyst Remote

3 days ago

India Future-Able Full time
Future-Able is looking for a Data Analyst (5-7 years of experience), a full-time contract role, to work for:
Naked & Thriving - An organic, botanical skincare brand focused on helping everyone realize a health- looking glow.

With 7 years of experience in the USA market, we're all about clean, effective skincare. Our products are organic, vegan, and free from synthetic ingredients, and we're committed to sustainable and green business practices every step of the way. We are seeking a Data Analyst with strong eCommerce analytics experience to transform data into actionable insights that drive growth. You’ll leverage GA4, Shopify, BigQuery, and BI tools (e.g., Looker Studio) to analyze conversion funnels, customer behavior, and marketing efficiency. Proficiency in SQL and working knowledge of Python for analysis/automation are required.

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: Ensure data integrity and governance across structured and unstructured datasets.
● Work with Product, Marketing, Lifecycle/CRM, and Engineering to translate business questions into analysis and decisions.

Expert SQL skills and comfort working in BigQuery (or similar cloud warehouses).
● Looker Studio, Tableau, or Power BI—able to design crisp, self-serve dashboards.
● 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. Experience with Shopify, Recharge (subscriptions), and Klaviyo (lifecycle/CRM) datasets.
● Hands-on with marketing attribution (rules-based + data-driven), MMM, or causal inference.
● 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).

Fully Remote Work.
● USD 50 for health insurance

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