General Purpose:

 

As a Junior Decision Scientist in Trading & Operations Analytics, you will leverage a comprehensive analytics toolkit to uncover business opportunities through data-driven insights. This role involves analyzing cross-domain data, developing decision support models, and providing actionable recommendations based on statistical insights to maximize effectiveness.

 

Key Responsibilities:

 

Consulting:

 

Apply expertise in data analytics and statistics to support in answering key business questions. Focus on understanding and analyzing data from the past and present perspectives to support in the creation of reliable insights for our stakeholders.

 

Analytics / Reporting:

 

Support the development of quantitative analysis, tools, ad hoc reports, and models that support decision making. Analysis areas might include (but not limited to): products lifecycle, products attribute and ranges, buying process, marketplace data, consumer feedback data… Support in the production of data visualization such as charts, infographics, and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively.

 

Key Relationships:

 

Trading & Operations Teams Decision Intelligence Team Markets & Digital Strategy

 

Requirements, Education & Professional Experience:

 

A degree in mathematics, economics, statistics, computer science or a similar quantitative field.

 

Hard-Skills:

 

Experience finding, cleaning and transforming large data sets to build reports, dashboards and / or data assets. Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory etc.) and knowledge of linear algebra, calculus, probability and statistics. Experience using Python, R or a similar scripting language for statistical modeling. Experience with SQL (e.g. aggregate functions, joins) NoSQL or other data querying languages. Experience creating data visualization using tools such as e.g. Tableau, MicroStrategy, Power BI, matplotlib, plotly or something similar.

 

Soft-Skills:

 

The ability to story tell around the data Clear written and oral communication skills. Fluent in English both verbally and written.