Job Description

Position : Data Analyst Intern

Organization

• Function :
• Country : France
• Location : Paris
• Supervisor : Head of Data

Context 

• Support the development of impactful Data & AI Use Cases.
• The role involves working within our Data ecosystem to deliver value-driven solutions as part of our digital transformation efforts.

Purpose

• The purpose of this internship is to deploy data exploration frameworks and support stakeholders in establishing and maintaining high data quality standards, contributing to better decision-making and data governance across the organization.

Areas of responsibility

• Deploy and configure data exploration frameworks to enable self-service analytics across business units.
• Support stakeholders in establishing data quality standards, metrics, and monitoring processes.
• Conduct data profiling and quality assessments to identify and resolve data issues.
• Collaborate with business teams to understand their analytical needs and translate them into actionable insights.
• Create dashboards and reports to monitor data quality metrics and exploration activities.
• Document data quality processes, best practices, and framework usage guidelines for knowledge sharing.
• Participate in data governance initiatives and contribute to the development of data quality policies.

Expected results 

• Successful deployment of at least one data exploration framework accessible to business stakeholders.
• Definition and implementation of data quality metrics and monitoring dashboards for key datasets.
• Measurable improvement in data quality scores across critical business processes.
• Enhanced stakeholder autonomy in data exploration through training and documentation.
• Clear documentation of data quality processes, standards, and framework usage guidelines.
• Tangible contributions to data-driven decision-making and data governance maturity.

Position sizing

• Internship

Required skills and qualifications 

• Educational Background: Currently pursuing a degree in Data Analytics, Statistics, Business Intelligence, Mathematics, or a related field.
• Technical Skills:
  • Strong proficiency in SQL for data querying, analysis, and quality validation.
  • Advanced skills in data visualization and BI tools (Power BI, Tableau, or Qlik) to create dashboards and reports.
  • Working knowledge of Excel/Google Sheets for data analysis, including pivot tables, formulas, and data validation.
  • Familiarity with Python or R for data analysis, quality checks, and basic automation (pandas, numpy, matplotlib).
  • Understanding of data quality principles, including data profiling, cleansing, validation, and monitoring techniques.
  • Experience with or willingness to learn data quality tools and frameworks (e.g., Great Expectations, Talend Data Quality, Azure Purview, or similar).
  • Exposure to Cloud data platforms (Azure, AWS, or GCP) for accessing and analyzing data.
  • Knowledge of data exploration tools (e.g., Jupyter notebooks, Azure Data Explorer, or s
• Analytical Skills: Strong ability to analyze data quality issues and derive actionable insights from complex datasets.
• Problem-Solving: Ability to identify data quality challenges and propose practical solutions aligned with business needs.
• Communication Skills: Excellent verbal and written communication skills to effectively collaborate with stakeholders and document processes.
• Stakeholder Management: Ability to work closely with business users to understand their needs and support them in data quality initiatives.
• Personal Attributes:
  • Detail-oriented with a strong focus on data accuracy and quality.
  • Proactive and autonomous with a continuous improvement mindset.
  • Curious and eager to learn about different business domains and their data challenges.