adidas
Junior Decision Scientist
Job Description
General Purpose:
As a Junior Decision Scientist, you will apply the full analytics toolkit to support in delivering analytics solutions on a variety of topic (i.e. members’ lifecycle management, consumer engagement, digital marketing and business performance), to enable make fact-based decisions.
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): members’ lifecycle management, consumer engagement, digital marketing and business performance.
- 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.
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 generate insights and build reports / dashboards.
- Experience handling web/app data through tools such as Adobe Analytics, Amplitude, Google Analytics
- 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.
- Fluent in English both verbally and written.
Soft-Skills:
- Good communication skills
- Clear written and oral communication skills.