Senior Data Analyst

Senior Data Analyst

Join a high-performance team with a strong customer focus and recognized expertise in a fast-moving field.

As a Senior Data Analyst within the Data Quality team, your mission is to work in collaboration with key stakeholders on various Data Quality projects. You will be required to assess data quality issues, perform in-depth analysis and investigations. You will also be engaged in the campaign of correction to ensure data integrity across information system.

Main activities of the role:

As the Senior Data Analyst, you will be responsible for the following activities:

• Acquire knowledge of Orange Tools and the connections between them
• Understand the data journey for our different offers
• Extract data from different sources
• Write SQL scripts to perform DDL and DML operations
• Lead and manage data quality projects
• Perform data analysis and identify Root Cause of data quality issues
• Collaborate with necessary stakeholders to define/document data quality KPIs and correction procedures
• Follow-up on data correction phase and ensure integrity across Orange Business Information System
• Contribute to the organization and the animation of the data community
• Using data visualizations and data analytics, create reports/dashboards to follow-up on project’s progress

You will recognize yourself in the following profile:

• At least 5 years of work experience as Data Analyst or similar position
• A University degree in an IT related field
• Proficiency in AI and machine learning concepts/application and programming languages will be an advantage
• Project management skills will be an advantage
• Have a good understanding of database and related concepts
• Good SQL skills
• High proficiency in Excel, VBA, and experience in performing data analysis using Excel functions and other tools/methodologies
• Proficiency in reporting and data visualization tools (PowerBI or other tools)
• Knowledge of Automation and AI

You have the following soft skills:

• Good analytical, organizational, and planning skills
• Ease of communicating with different audiences and build rapport
• Ability to identify and document risks
• Have an open mindset to propose data process improvements
• Be a team player
• Ability to communicate fluently in English and French, both written and spoken