Business Intelligence Engineer, WW ORC Classification

The VDB&W Agency ORC Classification Analytics team is looking for a creative problem solver, analytical and technically savvy Business Intelligence Engineer to join our dynamic team. This position requires an individual with excellent statistical and analytical skills, in-depth knowledge of business intelligence solutions and data engineering practices, understanding of hypothesis testing (including parametric and non-parametric testing), and familiarity and understanding of factors such as A/B testing random assignment, statistical power , p-values, confidence intervals, potential bias, and a good understanding of frequency statistics.

The ideal candidate will help us build data pipelines and robust metrics platforms, perform advanced statistical analysis, and measure the success of model deployments. If you have the ability to transform complex data insights into actionable strategies and can effectively communicate them to both technical and non-technical audiences, we'd love to hear from you!

Your responsibilities include:

• Working with cross-functional teams to understand business needs and provide data-driven recommendations.
• Ability to clearly articulate hypotheses, methods, results, and implications.
• Ability to provide in-depth insights and analysis to technical and non-technical stakeholders, ensuring clarity and understanding.
• Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
• Use visualization tools and develop data pipelines to publish metrics to internal and external stakeholders.
• Implement various sampling techniques to be able to deal with problems that arise in sampling, such as: B. Sampling bias.
• Able to perform statistical tests such as hypothesis testing, including parametric and non-parametric tests, and be familiar with A/B testing.

We welcome candidates willing to work in one of the following locations: Luxembourg, LUX.

Basic qualifications:

• Bachelor's or master's degree in statistics, data science, computer science, or related field.
• Experience in business intelligence, data analytics or similar role.
• Proficient in scripting languages ​​(e.g. R, Python, SQL).
• Experience using one or more analytical visualization tools (e.g., Excel, Tableau, QuickSight, PowerBI).
• Strong understanding of A/B testing, sampling methods, and other statistical analyses.
• Proficient in descriptive statistics and familiar with inferential statistical methods.
• Excellent communication skills with the ability to convey complex ideas clearly and concisely.
• Strong critical thinking and problem-solving skills.

Preferred Qualifications:

• Understand how to improve code quality and optimize BI processes (e.g., speed, cost, reliability).
• Understand modeling techniques