AI-Driven Data Operations Lead

NielsenIQ; Paris; Hybride; EUR 50 000 - 60 000; Plein temps

Avantages offerts par ce poste

Hybrid work options

Career onboarding and training

Learning platforms access

Staff and team events

Flexible working hours

Résumé du poste

NielsenIQ is seeking a hands-on Data Analytics Professional to work on Digital Purchases data across more than 40 countries. You will tackle data quality, automation, and operational challenges using SQL, BI tools, and emerging AI tech.

Join a hands-on team that collaborates with Operations, Engineering, Product, and clients to deliver scalable data solutions. Strong English and French, and a proactive, autonomous mindset are essential.

Qualifications

• 3-5 years of experience in Data Analytics, Data Operations, Data Quality, BI, or related field.
• Strong SQL and analytical problem-solving skills.
• Experience with BI tools.
• Able to structure and solve ambiguous problems and deliver practical solutions.
• Fluent in English and French.

Responsabilités

• Investigate data quality and operational issues and identify root causes.
• Analyze large datasets using SQL and BI tools and build validation, monitoring, and analytical solutions.
• Lead data, automation, and process-improvement initiatives from idea to measurable impact.
• Explore AI/GenAI and automation for practical use cases.
• Collaborate with Operations, Engineering, Tooling, Product, and client-facing teams.
• Remain hands-on with data operations and evolve technologies/workflows.
• Share expertise and support other analysts on complex topics.

Connaissances

Data analytics

SQL

BI tools

Problem solving

Communication (EN/FR)

Outils

SQL

BI tools

Python

dbt

Apache Airflow

Snowflake

Databricks

BigQuery

Description du poste

NielsenIQ is seeking a hands-on Data Analytics Professional to work on Digital Purchases data across more than 40 countries. You will tackle data quality, automation, and operational challenges using SQL, BI tools, and emerging AI tech.

Join a hands-on team that collaborates with Operations, Engineering, Product, and clients to deliver scalable data solutions. Strong English and French, and a proactive, autonomous mindset are essential.