adidas
Junior Decision Scientist – Trading & Operations Analytics
Job Description
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.