Data Operations Analyst: AI & Automation for Insights

SmartRecruiters, Inc.; Paris; Hybride; EUR 48 000 - 60 000; Plein temps

Avantages offerts par ce poste

Hybrid work options

Bonus program

Learning platforms

Staff events

Comprehensive onboarding and training

Résumé du poste

NIQ, the world’s leading consumer intelligence company, is seeking a data analytics professional to join its Digital Purchases team in Paris. You’ll work with e-commerce transactional data across 40+ countries, applying SQL, BI tools, and data quality practices to build scalable solutions.

You will investigate complex data issues, lead automation initiatives, explore AI/GenAI use cases, and collaborate with Operations, Engineering, Product, and client-facing teams to improve reliability and

Qualifications

• 3–5 years of experience in Data Analytics, Data Operations, Data Quality, BI, or a related data‑focused field.
• Strong SQL and analytical problem‑solving skills.
• Experience with BI tools.
• Professional fluency in English and French.

Responsabilités

• Investigate complex data quality and operational issues and identify root causes.
• Analyze large datasets using SQL and BI tools and build validation, monitoring, and analytical solutions.
• Identify and lead data, automation, and process‑improvement initiatives from idea to measurable impact.
• Explore AI/GenAI and automation for practical operational and analytical use cases.
• Work closely with Operations, Engineering, Tooling, Product, and client‑facing teams.
• Remain hands‑on with Digital Purchases data operations and contribute to the evolution of our technologies and workflows.
• Share your expertise and support other analysts on complex analytical and technical topics.

Connaissances

SQL

Analytical skills

BI tools

English & French

Automation mindset

Outils

Python

dbt

Apache Airflow

Snowflake

BigQuery

Description du poste

NIQ, the world’s leading consumer intelligence company, is seeking a data analytics professional to join its Digital Purchases team in Paris. You’ll work with e-commerce transactional data across 40+ countries, applying SQL, BI tools, and data quality practices to build scalable solutions.

You will investigate complex data issues, lead automation initiatives, explore AI/GenAI use cases, and collaborate with Operations, Engineering, Product, and client-facing teams to improve reliability and