Data Governance Trainee

Euronext is the leading pan-European market infrastructure, connecting European economies to global capital markets, to accelerate innovation and sustainable growth. It operates regulated exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway and Portugal. With close to 2,000 listed issuers and around €6.6 trillion in market capitalization as of end March 2022, it has an unmatched blue-chip franchise and a strong diverse domestic and international client base. Euronext operates regulated and transparent equity and derivatives markets, one of Europe’s leading electronic fixed income trading markets and is the largest center for debt and funds listings in the world. Its total product offering includes Equities, FX, Exchange Traded Funds, Warrants & Certificates, Bonds, Derivatives, Commodities and Indices. The Group provides a multi-asset clearing house through Euronext Clearing, and custody and settlement services through Euronext Securities central securities depositories in Denmark, Italy, Norway and Portugal. Euronext also leverages its expertise in running markets by providing technology and managed services to third parties. In addition to its main regulated market, it also operates a number of junior markets, simplifying access to listing for SMEs.

The Data Office team is responsible for the execution of the company Data Governance Programme within Euronext.

The aim of this programme is to support the business in Identifying, Understanding and Accessing data of Quality. Also working with the InfoSec and DPO teams in ensuring data is Secure and maintained in a manner Compliant to both Euronext’s data management policy and external regulatory & legal requirements.

The Data Governance Programme is made up of the following streams:

Metadata Management:

• Implementing and maintaining company Metadata through 3rd party tool to assist the business in identifying and understanding business data. Metadata management includes the following:
  • Data lineage: The process of understanding, recording, and visualizing data as it flows from data sources to consumption. This includes all transformations the data underwent along the way—how the data was transformed, what changed, and why.
  • Business Glossary: List of business terms and definitions assigned to data assets that describes what the data means.

Data Quality: 

• Analyse company data against defined data quality rules to establish current state of quality;
• Support remediation of identified data quality issues; 
• Continuous monitoring of remediated data quality

Data Classification:

• Build enterprise-wide Inventory of Classified Data in accordance with data management policies
• Data discovery and tagging of classified datasets

The Data Office team is looking for a Data Governance Trainee, who is a data enthusiast, passionate about data and the value that excellent data delivers to the organisation.

The candidate will support the development and administration of enterprise data governance, metadata management and quality activities, supporting adoption of good data management practices across the organization.

The Data Governance Trainee activities may include the following:

• Gathering and analysis of classified datasets.
• Analysis of data repositories and boundaries to support discovery of classified data
• Maintain proper data lineage, user interactions, transformations along the data pipeline.
• Updates of business terms within metadata management tool.
• Work closely with business and IT stakeholders to define data quality rules, including through execution of data profiling.
• Perform data profiling activities, with emphasis of identifying anomalies on data and documenting issues, patterns and gaps in the data and/or system.
• Support the documentation and reporting of data quality issues, including dashboard production and ad-hoc reporting.

Candidate Criteria

• BS/MS degree in Management Information Systems, Data Analytics or equivalent working experience - IEFP Level VI
• Experience developing Power BI reports/dashboards
• Knowledge and experience using SQL
• Knowledge of Python (plus)
• Strong analytical mind-set, problem solving & organization skills
• Experience in trend analysis / outlier detection
• Communication, organizational and relationship skills
• Pro-active attitude with ability to work in a fast changing and demanding environment
• Strong capacity for teamwork
• Fluency in 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 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.

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.