Data Platform Experience Intern Puteaux - la Défense Fr 98200 H/F - Nexans

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.