Business Intelligence Data Analytics Engineer Trainee (IEFP)

Join us as a Business Intelligence /Data Analytics Engineer Trainee!

As a Business Intelligence /Data analytics Engineer Trainee you will design build and maintain scalable analytics solutions that transform raw data into actionable insights. You will work closely with business stakeholders data engineers and analysts to deliver reliable data models dashboards and reporting solutions that support strategic and operational decision-making.

Key Accountabilities

You will primarily be responsible for:

• Assist in collecting cleaning transforming and validating data from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends anomalies and business insights.
• Develop and evaluate machine learning models for supervised and unsupervised learning tasks.
• Prepare datasets for statistical analysis and predictive modelling.
• Stay current with emerging technologies tools and best practices in data engineering analytics and data science.
• Designing and maintaining semantic data models (star/snowflake schemas) optimized for analytics and reporting.
• Building and optimizing ETL/ELT pipelines from multiple data sources ensuring data quality and consistency.
• Ensure data quality consistency and performance across business intelligence solutions.
• Developing and maintaining dashboards and reports using BI tools such as Power BI Python and R.
• Translating business requirements into robust BI solutions and flexible Power BI semantic models.
• Optimizing SQL queries data models and report performance for large-scale datasets monitoring BI workloads in cloud and on-premises environments.
• Collaborating with business users to understand KPIs metrics and reporting needs and partnering with Data Engineers Data Scientists and Product teams.
• Providing guidance and best practices to analysts and report developers.
• Defining and enforcing data standards naming conventions and documentation supporting data lineage and metadata management.
• Ensuring compliance with security and privacy requirements.

Knowledge Skills and Experience Required

• Bachelors or Masters degree in Computer Engineering or related fields.
• Eligible for an IEFP Level VI Internship.
• Good programming skills; knowledge of python C#.
• Machine learning model development and evaluation.
• Data wrangling using libraries such as Pandas/Modin Polars NumPy.
• Knowledge of multiple databases such as SQLServer PostgreSQL DuckDB.
• API-based data ingestion.
• Strong SQL skills and experience with data warehouses (e.g. Snowflake Azure Synapse Big Query Redshift SQL Server).
• Hands-on with Power BI (semantic models DAX DirectQuery) and ETL/ELT tools (SSIS ADF Airflow dbt SSIS or similar).
• Knowledge of Microsoft Fabric and Azure Foundry (Nice to have).
• Knowledge of data modelling techniques (Kimball dimensional modelling).
• Analytical mindset with the ability to translate business needs into data models and KPIs.
• Excellent communication skills with both technical and non-technical stakeholders.
• Organized able to manage multiple priorities and share knowledge effectively.
• Fluent in English with good verbal written and interpersonal communication skills.
• Nice to have: experience with cloud platforms (Azure AWS) Python DevOps/CI-CD for BI data governance frameworks.

Apply by submitting your CV in English.

Join Euronext Shape capital markets for future generations.
Euronext is the leading European capital market covering the entire capital markets value chain from listing trading clearing settlement and custody to solutions for issuers and investors. We operate seven national stock exchanges handling 25% of European lit equity trading. Our products include equities FX ETFs bonds derivatives commodities and indices. Euronext also provides clearing and settlement services through Euronext Clearing and our network of Euronext Securities addition Euronext runs MTS one of Europes leading electronic fixed income trading markets and Nord Pool the European power market. The company has a diverse domestic and international client base.

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.

Additional Information

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.