Junior Data Analyst

Join our team as a Junior Data Analyst, where you will support Marketing Analytics by transforming data into actionable insights that improve campaign performance. This early-career role is ideal for candidates with strong analytical fundamentals and hands-on experience with SQL, Python, and modern data platforms. You will work with large marketing datasets, develop reporting solutions, automate data workflows, and partner with marketing business partners to deliver insights.

• Analyser les données de performance marketing pour identifier les tendances et les opportunités d'optimisation.
• Développer des solutions de reporting, automatiser les flux de données et mettre en œuvre des couches d'agent AI.
• Traduire des données complexes en recommandations claires pour les parties prenantes.
• Strong working knowledge of SQL, including joins, aggregations, and data transformations
• Internship, academic project, or research experience involving data analysis is strongly preferred
• Basic to intermediate proficiency in Python with experience using data libraries (e.g., pandas, NumPy) through coursework, projects, or internships
• Strong curiosity and willingness to learn
• Strong analytical and problem-solving abilities with attention to detail
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or related quantitative field
• Ability to manage multiple workflow priorities using Jira or similar project management tools and work independently
• Experience working with real-world datasets and performing data validation and troubleshooting
• Ability to communicate technical findings to non-technical audiences
• Exposure to Databricks, Apache Spark, or cloud-based data environments
• Experience with Tableau, Power BI, or similar visualization tools
• Familiarity with marketing analytics concepts or campaign performance metrics
• Exposure to marketing platforms such as Google Analytics or Salesforce
• Experience using version control tools (e.g., Git)
• Understanding of ETL or data pipeline concepts