adidas

Junior Decision Scientist

14 March 2024
Apply Now
Deadline date:
£142000 - £204000

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.