Analytics Engineer Mid

D8 LooP; Paris; Hybride; EUR 65 000 - 90 000; Plein temps

Résumé du poste

We are D8 LooP, a Paris-based team driving innovative data analysis to unlock insights across digital ownership platforms. You will own data models, dashboards, and data quality alerting in collaboration with the data engineering team to empower business decisions.

Join a group that combines analytical rigor with a passion for accessible technology, delivering measurable impact for users, creators, and enterprises worldwide.

Qualifications

• Proficient in Python for analysis and statistics; experience with causal inference methods is a strong plus.
• Strong SQL and dbt skills; Snowflake experience is essential.
• Develop and improve data models (dbt/Snowflake) across varied data sources (sales, marketing, web analytics) with data engineering support.

Responsabilités

• Build and maintain Tableau dashboards for business stakeholders: e-commerce performance, wholesale, resellers sell-out, affiliation, editorial content, shipping costs.

Connaissances

Python

SQL

dbt

Tableau

Data quality alerting

Causal inference

Outils

Snowflake

dbt

Description du poste

Ledger · jobs.ashbyhq.com · checked today

We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale.

Skills, with evidence

co-own data quality alerting (SKU, refunds, sales anomalies) must have

• Python Python for analysis and statistics; experience with causal inference methods is a strong plus must have
• SQL Strong SQL and dbt skills (Snowflake) must have
• dbt Strong SQL and dbt skills (Snowflake) must have
• - 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;
• - Build and maintain Tableau dashboards for business stakeholders: e-commerce performance, wholesale, resellers sell-out, affiliation, editorial content, shipping costs not practised here
• co-own data quality alerting (SKU, refunds, sales anomalies)