Posted:
2/19/2025, 4:00:00 PM
Location(s):
Île-de-France, France ⋅ Paris, Île-de-France, France
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Data & Analytics
We are looking for our new fee management data analyst as part of the Statistics and Analytics trading business support team in our Paris office. With your team mates, you will be in charge of updating and executing the calculation of the monthly fees. For this, you will work in close proximity with the different product teams following their fee model evolutions that you will implement in the calculation engine. While you develop a high expertise on fee models and the related data, you will have the responsibility to execute this process monthly in collaboration with your colleagues from the team and beyond. You will also answer advanced clients questions about this process.
In addition to this main activity, you will have the occasion to work on other data analysis related tasks, leveraging your data analysis skills to produce business specific analysis. You will have the chance to work in different business contexts and put in place dedicated reporting in response to each one’s challenges. Your ability to proactively support the business stakeholders is key for this activity.
With Gen AI around the corner in the data analysis landscape, we expect that you have at least a basic knowledge with the current solutions, and a great curiosity to discover more.
This job is for you if,
You are into financial data
You believe the data itself is nothing until you understand what it represents
You are client oriented and have great communication capacity
You are curious and have problem solving mindset
You are rigorous, and put attention to details
You have strong team spirit and collaboration skills
You like to be proactive and propose ideas
You believe innovation is key in the data management business
You have a continuous improvement mindset
You are positive and enthusiastic
You are very well organized and have a great ability to prioritize complex workload under pressure
You are resilient and agile
You have a high capacity to assess and plan own activity
You have high coordination capacity
Technically, you should know very well how to use:
SQL
Python
Dataiku
Gen AI experience is a plus
We expect that you already have:
Around 5 years of experience in data analysis in direct contact with business clients
Experience in building robust data manipulation tools
Excellent spoken and written level of English
Experience in financial data analysis is a plus
Euronext Values
Unity
• We respect and value the people we work with
• We are unified through a common purpose
• We embrace diversity and strive for inclusion
Integrity
• We value transparency, communicate honestly and share information openly
• We act with integrity in everything we do
• We don’t hide our mistakes, and we learn from them
Agility
• We act with a sense of urgency and decisiveness
• We are adaptable, responsive and embrace change
• We take smart risks
Energy
• We are positively driven to make a difference and challenge the status quo
• We focus on and encourage personal leadership
• We motivate each other with our ambition
Accountability
• We deliver maximum value to our customers and stakeholders
• We take ownership and are accountable for the outcome
• We reward and celebrate performance
We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.
This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.
Website: https://companywebcast.com/
Headquarter Location: Rotterdam, Zuid-Holland, The Netherlands
Employee Count: 11-50
Year Founded: 2005
IPO Status: Private
Industries: Internet ⋅ Software