Data Analyst

Job Description

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. As we rapidly grow and expand into new categories, channels, and countries, customer satisfaction remains our top priority. If you're an A-player with an entrepreneurial spirit and you're passionate about moving beauty towards a sustainable future, we'd love to have you on this journey with us. Naked Ingredients, Thriving Skin.

Job Summary:

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.

What you will do:

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.

Ensure data integrity and governance across structured and unstructured datasets.

Cross-functional collaboration: Work with Product, Marketing, Lifecycle/CRM, and Engineering to translate business questions into analysis and decisions.

What we are looking for:

57 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 BIable 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 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).

Benefits

USD Salary.

Fully Remote Work.

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.

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