Data Scientist: AI-First Analytics for EV Charging

Zeplug; Paris; Hybride; EUR 52 000 - 68 000; Plein temps

Avantages offerts par ce poste

Hybrid work setup

Paris centre office

Résumé du poste

Zeplug and ChargeGuru are seeking a Data Analyst to join our Data team in Paris. You will turn raw operational data into actionable insights, handling a high volume of SQL queries and analytics requests from Product, Ops and Support.

The role involves minimal modelling today but sits at the intersection of analysis and engineering, with dashboards built in Metabase and pipelines automated with Databricks. You’ll thrive in an AI-first culture and collaborate closely with product teams.

Qualifications

• 1–5 years of experience in a data analyst, data scientist, analytics engineer, or similar role.
• SQL is mandatory and you are comfortable writing complex queries autonomously.
• Proven Python proficiency for data manipulation and analysis (pandas or equivalent).
• Comfortable with Git and basic CI/CD practices — data work is treated like engineering.
• Strong ability to translate technical findings into business language and present to PMs or executives.

Responsabilités

• Query, explore, and transform data in Databricks (SQL + Python) to produce reliable datasets and analytical outputs.
• Handle a high volume of data requests from Product, Ops, and Support with speed and rigor.
• Build and maintain data pipelines and transformation logic with emphasis on quality and reproducibility.
• Work with Metabase to design and maintain dashboards for business stakeholders.
• Translate analytical findings into clear, actionable recommendations for non-technical audiences.
• Contribute to data quality practices: testing, documentation, anomaly detection.
• Participate in our AI-first culture to build AI-powered solutions and automate workflows.

Connaissances

SQL

Python

Git

CI/CD

French & English

Outils

Databricks

Metabase

Description du poste

Zeplug and ChargeGuru are seeking a Data Analyst to join our Data team in Paris. You will turn raw operational data into actionable insights, handling a high volume of SQL queries and analytics requests from Product, Ops and Support.

The role involves minimal modelling today but sits at the intersection of analysis and engineering, with dashboards built in Metabase and pipelines automated with Databricks. You’ll thrive in an AI-first culture and collaborate closely with product teams.