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NielsenIQ

Global provider of consumer purchasing data

Lead Data Operations Analyst

Data Management +1Confirmed live in the last 24 hours
Full-timeParis, France

About the Job

Requirements

  • Three to five years of experience in data analytics, data operations, data quality, business intelligence, or a related data-focused field.
  • Strong SQL and analytical problem-solving skills.
  • Experience with business intelligence tools.
  • Ability to independently structure ambiguous problems, investigate them, and develop practical solutions.
  • Professional fluency in English and French.
  • Python is a strong plus; familiarity with Java, scripting, or automation is welcome.
  • Exposure to ETL/ELT processes, data pipelines, dbt, or Apache Airflow is desirable.
  • Familiarity with Snowflake, Databricks, or Google BigQuery is desirable.
  • Experience working with JSON, HTML/XML, regular expressions, or other semi-structured data is desirable.
  • Interest or experience in data validation, monitoring, and data quality automation is desirable.
  • Curiosity about AI/GenAI and its use in data and operational workflows is desirable.
  • Exposure to e-commerce data or Agile environments is an advantage.

Responsibilities

  • Investigate complex data quality and operational issues and identify their root causes.
  • Analyze large datasets using SQL and business intelligence tools, and build validation, monitoring, and analytical solutions.
  • Identify and lead data, automation, and process-improvement initiatives from idea through 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.
  • Perform hands-on Digital Purchases data operations and contribute to the evolution of technologies and workflows.
  • Share expertise and support other analysts on complex analytical and technical topics.

Desired Qualifications

  • Python is a strong plus.
  • Familiarity with Java, scripting, or automation is welcome.
  • Exposure to ETL/ELT processes, data pipelines, dbt, or Apache Airflow is desirable.
  • Familiarity with Snowflake, Databricks, or Google BigQuery is desirable.
  • Experience with JSON, HTML/XML, regular expressions, or other semi-structured data is desirable.
  • Interest or experience in data validation, monitoring, and data quality automation is desirable.
  • Curiosity about AI/GenAI and its use in data and operational workflows is desirable.
  • Exposure to e-commerce data or Agile environments is an advantage.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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