Junior Decision Scientist - Trading & Operations Analytics

Amsterdam, NH, NL

adidas

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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.
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Tags: Computer Science Consulting Data analysis Data Analytics Data visualization Economics Linear algebra Mathematics Matplotlib NoSQL Plotly Power BI Python R SQL Statistical modeling Statistics Tableau Testing

Perks/benefits: Career development

Region: Europe
Country: Netherlands

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