Our client is looking for a Data Analyst
MISSION CONTEXT
The Data Analyst will join the Analytics team (Client & Market Data) within the Clients & Markets Department. Their mission is to exploit, process, and enhance data. The role involves analyzing business data to support decision-making within the department. They will provide advanced data science expertise to support decisions, optimize processes, and contribute to data-driven management within the C&M Department.
MAIN TASKS
Data Analysis and Exploitation:
- Explore available data
- Identify trends, correlations, and relevant insights to meet business needs
- Perform advanced analyses on large datasets
- Share findings with stakeholders
Enhancing Cross-Functional Client and Market Data:
- Analyze trends, process operations, and operational performance
- Contribute to organizational projects involving Client & Market data
- Develop prospective scenarios to anticipate evolving business needs
- Design dashboards and interactive visualizations using Power BI to facilitate interpretation by business teams
- Share results with stakeholders (business and IT)
Data Modeling:
- Follow company best practices for self-service data and modeling
- Identify inconsistencies or anomalies in data and alert stakeholders
- Participate in documenting models and measurement definitions
Business Support:
- Train and support business users in using reports and datasets
- Act as a liaison between business and IT to formalize needs
- Promote data culture and team autonomy in data usage
PROFILE REQUIRED
The candidate should have:
- University degree or higher education diploma with a focus on IT, data, or equivalent
- 5 years of experience in a similar role
- Proven experience with market processes in the energy sector
- Experience in metering data management in the energy sector is a plus
- Ability to understand business challenges and their link to data
- Strong communication skills and autonomy in working with various stakeholders
- Intellectual curiosity about technologies and data management
- Pragmatic approach to providing solutions
TECHNICAL SKILLS
- Proficiency in programming languages and data management tools: Python, SQL, R
- Proven experience with PowerQuery
- Proven experience in data modeling
- Proven experience with Power BI
