This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking a detail‑oriented Data Analyst to work in a data‑heavy environment, supporting business decision‑making through deep analysis and problem‑solving. The role requires strong SQL expertise, working knowledge of Python, and the ability to understand end‑to‑end data flows. The ideal candidate has a strong analytical mindset and enjoys investigating data discrepancies to uncover root causes.
Job Responsibility:
Analyze large and complex datasets to generate accurate insights and reports
Write and optimize complex SQL queries using joins, window functions, analytical functions, and CTEs
Work with high‑scale databases such as BigQuery, Hive, or Postgres
Use Python (Pandas, NumPy) for data manipulation and basic automation
Understand upstream data sources and their impact on downstream reporting
Investigate data inconsistencies and perform root cause analysis
Collaborate with cross‑functional teams to ensure data accuracy and reliability
Support business teams with ad‑hoc analysis and reporting needs
Requirements:
2+ years of experience in a data‑heavy analytical environment
Strong expertise in SQL, including complex joins, window functions, and CTEs
Experience working with large-scale databases
Functional knowledge of Python for data analysis (Pandas, NumPy)
Strong analytical, problem‑solving, and logical thinking skills
Ability to understand data pipelines and system dependencies
High attention to detail and data accuracy
Nice to have:
Experience in E‑commerce or FinTech domains
Exposure to data automation or reporting workflows
Familiarity with ETL processes and data warehousing concepts
Experience working with cloud data platforms
Strong business understanding and data storytelling skills
Ability to independently investigate and resolve complex data issues