Data analyst apprentice

Job description:

We are looking for our new Data Analyst Apprentice in the Statistics and Analytics team. This position is based in Paris. With the other Data Analysts of the team you will work on deriving insights from Euronext vast pool of historical market data and other data sources to support data driven decision of the business and sales teams as well as operations and communication teams.

You will contribute to the evolution of the technics and tools put in place to answer the expectations for data self-service and will be responsible for actively engaging in the initiative to implement optimal analysis contents that are relevant to internal and external stakeholders. As part of the business team owning this historical data database you will also contribute as a data expert to the definition and evolution of this database in relation with other business teams.

Your role:

• Work in close collaboration with our internal clients and other team members to deliver valuable insights from the available market data in the form of statistics analysis or more advanced studies.
• Build a close relation with these internal clients and adopt a proactive posture by understanding their business challenges and proposing them data analytic services.
• Contribute to answer external stakeholders data requests.
• Build and maintain automatic reporting systems controlled by the team to enforce data self-service for recurring data requests or proactively send data to our internal/external clients.
• Active contribution to the continuous improvement of data analytics and reporting within the team and support to the team in projects and daily tasks.

The key accountabilities only describe the main activities and is not exhaustive. It evolves depending on the expertise level and ongoing projects.

This job is for you if:

• You are into financial data and capital markets
• 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 are positive and enthusiastic
• You are very well organized
• You are resilient and agile
• You are a fast learner
• You have a high capacity to assess and plan your own activity

Technically you should know how to use:

• SQL
• Python
• SAS
• Excel
• Knowledge of Dataiku is a plus
• Knowledge of PowerBI is a plus

What we expect from you:

• Final or penultimate year student with a degree in computer science quantitative finance economics or another quantitative field
• First experience in data analysis and/or finance is a plus
• Excellent spoken and written level of English

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 dont 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.