2 дня назад
Lead Data Operations Analyst (AI)
48 100 - 60 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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