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Founded in 1856, Banque Internationale à Luxembourg is the oldest multi-business bank in the Grand Duchy. From its foundation, the BIL has always played an active role in the development of the Luxembourg economy. It currently operates in retail, private and corporate banking, as well as on major capital markets. Employing more than 2 000 people, BIL is present in the financial hotspots that are Luxembourg, Switzerland, and China.
As a major player in Luxembourg's finance industry and as a signatory of the UN Principles of Responsible Banking, BIL is committed to handing over a responsible and sustainable bank to future generations.
Your next challenge:
· Contribute to the design, development, and maintenance of data quality dashboards (Power BI, Python, SQL).
· Implement and automate data quality controls (completeness, consistency, timeliness, accuracy…).
· Support the rollout and adoption of the bank's Data Quality Framework, including methodology, processes, documentation, and best practices.
· Collaborate with Data Owners, Stewards, IT teams, and business lines to identify, assess, and monitor data quality issues.
· Analyze data quality results, identify root causes, and help prepare remediation recommendations.
· Participate in defining and formalizing data quality KPIs, business rules, and thresholds.
· Assist in producing operational and management reporting for Data Governance committees.
· Explore opportunities to enhance automation and industrialization using Python and SQL.
Your skills:
· Currently completing a Master's degree in Data Science, Computer Science, Information Systems, Finance, or a related field.
· Strong knowledge of SQL (queries, joins, data manipulation, profiling).
· Good command of Python, ideally with exposure to data analysis libraries (pandas, numpy, matplotlib/seaborn).
· Familiarity with data visualization tools (Power BI preferred) is a strong asset.
· Appetite for the banking industry, especially credit and lending activities.
· Strong analytical mindset, curiosity, and attention to detail.
· Ability to document work clearly and communicate findings to both technical and business stakeholders.
· Proactive, structured, and eager to learn within a dynamic, cross‑functional environment.
· Interest in Data Quality, Data Governance, and regulatory expectations (BCBS239, ECB, EBA) is a plus.
BIL offers a broad range of challenging projects and a huge choice of career paths .We will assist you in finding the one that best meets your skills and expectations. Your personal development is our priority and we greatly encourage you to dive into different business areas for the broadest possible experience.
BIL is firmly of the opinion that diversity & inclusion contribute towards increasing the collective performance of the Bank. We are committed to creating a culture of inclusion that encourages individual development with equal opportunities for all.
NB: The selected candidate will be asked to provide an extract from the criminal record (no.3) as evidence of integrity and justified with regard to the specific needs of the position to be filled. Other documents will be collected, to the extent legally permitted, to perform background checks.
Intern Data Quality Analyst (M/F) • Luxembourg (Canton), Luxembourg, LU
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