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2 дня назад

Lead Data Operations Analyst (AI)

48 100 - 60 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Lead Data Operations Analyst (AI) (SQL/data quality/automation): Investigating and improving e-commerce transactional data operations across more than 40 countries with an accent on data analytics, validation, monitoring, and scalable automation. Focus on solving complex data-quality problems, leading operational improvement initiatives, and exploring AI/GenAI use cases with cross-functional teams.

Location: Paris, France; hybrid work options available

Salary: €48,100–€60,000 gross per year. A non-guaranteed bonus may also apply.

Company

hirify.global is a global consumer intelligence and data analytics company delivering insights into consumer buying behavior through advanced analytics and technology platforms.

What you will do

  • Investigate complex data quality and operational issues, identify root causes, and develop practical solutions.
  • Analyze large e-commerce transactional datasets using SQL and BI tools.
  • Build validation, monitoring, and analytical solutions to improve data reliability.
  • Lead data, automation, and process-improvement initiatives from idea through measurable impact.
  • Explore AI/GenAI and automation use cases for operational and analytical workflows.
  • Collaborate with Operations, Engineering, Tooling, Product, and client-facing teams while supporting other analysts.

Requirements

  • 3–5 years of experience in data analytics, data operations, data quality, business intelligence, or a related field.
  • Strong SQL, analytical problem-solving, and BI tool experience.
  • Ability to structure ambiguous problems, investigate them independently, and deliver practical solutions.
  • Professional fluency in English and French.
  • Strong communication, autonomy, creativity, proactivity, and interest in technology.

Nice to have

  • Python, Java, scripting, and automation experience.
  • Exposure to ETL/ELT, data pipelines, dbt, or Apache Airflow.
  • Familiarity with Snowflake, Databricks, or Google BigQuery.
  • Experience with JSON, HTML/XML, RegEx, data validation, monitoring, or data quality automation.
  • Exposure to AI/GenAI, e-commerce data, or Agile environments.

Culture & Benefits

  • Flexible working hours and hybrid work options.
  • Flexible working environment and volunteer time off.
  • Comprehensive onboarding, internal training, and access to LinkedIn Learning.
  • Employee Assistance Program and staff and team events.
  • Opportunities to work with local and global companies.

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