Analytics Engineer: Data-Driven Growth & Insights

Unchain Data; Paris; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Flexible hybrid work

Health & Wellness support

Employee stock options

Commuter allowance

Learning & Development

Résumé du poste

Ledger is seeking a data analytics specialist to own analytics across consumer sales channels, from Ledger.com to marketplaces and wholesale. You will build data models in dbt/Snowflake, create Tableau dashboards and measure marketing ROAS with GA4 and ad platforms.

Join a cross-functional Data Team in Paris with hybrid work options, delivering insights that influence pricing, campaigns and ROI. English fluency is required.

Qualifications

• Strong SQL and dbt skills (Snowflake).
• Python for analysis and statistics; experience with causal inference methods is a strong plus.
• Strong Tableau skills.
• Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads).
• 3-4 years of experience in data analytics/analytics engineering.
• Data driven and business oriented; able to challenge stakeholders' methodology.
• Excellent organizational skills, fluent in English.

Responsabilités

• Own analytics across the full consumer sales scope: Ledger.com e-commerce, Amazon marketplaces, wholesale and resellers/distributors - covering both sell-in and sell-out - with one consistent view of revenue, units and margin reconciled in Snowflake, our source of truth
• Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting (SKU, refunds, sales anomalies)
• Build and maintain Tableau dashboards for business stakeholders: e-commerce performance, wholesale, resellers sell-out, affiliation, editorial content, shipping costs
• Own the measurement of performance marketing channels - SEM / Google Ads, affiliation & retargeting, Amazon Ads: spend, revenue attribution, ROAS/CAC across GA4, ad platforms and internal sales data, reconciling discrepancies between sources
• Measure the true impact of pricing, promotional and marketing campaigns using causal inference methods (CausalImpact, pre-post, control/synthetic groups) and recommend budget arbitrations to the Growth team
• Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions
• Contribute to cross-functional data projects (Salesforce data model, new data source integrations) and leverage AI tooling (Claude, LLM-based workflows) to scale analytics delivery
• Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level

Connaissances

SQL

Python

Tableau

English fluency

GA4

Google Ads

Amazon Ads

data-driven

Formation

3-4 years data analytics/analytics engineering

Outils

dbt

Snowflake

Description du poste

Ledger is seeking a data analytics specialist to own analytics across consumer sales channels, from Ledger.com to marketplaces and wholesale. You will build data models in dbt/Snowflake, create Tableau dashboards and measure marketing ROAS with GA4 and ad platforms.

Join a cross-functional Data Team in Paris with hybrid work options, delivering insights that influence pricing, campaigns and ROI. English fluency is required.