Job Properties
  • Job Type
    Full-time Position
  • Category
    Research & Science
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Amsterdam
    • Date Posted
      December 24,2021
    • Entrusting Package
    • JSS
    • VISA
    • MOCKINTERVIEW
    • IMG_6430
    • Career Consultation
    • COVERLETTER CHECK

    Junior Decision Scientist - Digital Hype Analytics

    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 take data-enabled and fact-based decisions. You will be part of the Global Digital Marketing and Growth Analytics team which is in the digital business to make sure that the right data story is told in a structured, simple, and meaningful way. Examples of topics covered by this team include analytics support for Hype and Inline campaigns and drops in the form of assortment & activation performance evaluation to inform decision making by the eCommerce Senior Leadership (growth management) team.

    Key Responsibilities:

    Consulting:

    • Apply expertise in data analytics and statistics to support in answering key business questions.
    • Focus on understanding and analysing 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.
    • First practical experience in data analytics, data modeling, or a similar function.

    Hard-Skills:

    • Experience finding, cleaning, manipulating 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, Hadoop 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, comfortable presenting complex topics in a clear and understandable way.
    • Clear written and oral communication skills.
    • Strategic mindset with the ability to prioritize and delegate high numbers of tasks with varying workload and importance.
    • Proven collaboration skills with the ability to collaborate across functions and organizations.
    • Good interpersonal skills to develop influential and collaborative relationships internally and externally of the organization.
    • Clear written and oral communication skills.

    AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE‘S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE – THE 3CS: CONFIDENCE, COLLABORATION AND CREATIVITY.

      CONFIDENCE allows athletes to make quick decisions on the field, to reach higher. For us at adidas confidence means acknowledging that we don’t have all the answers. But we are willing to take risks, we try new things. And if we fail, then this is part of our learning – it helps us improve.

      COLLABORATION. Every elite athlete relies on partners: coaches, teammates, and nutritionists. We, too, know that we are stronger together. Winning as one team takes open and candid dialogue, inclusiveness and trust in each other’s abilities and talents.

      Being the best sports company in the world takes CREATIVITY. No great athlete succeeds by copying their predecessors’ training plans and strategies. We have to be open to new ideas, explore, gain an edge and stand out. Only then can we succeed.

    ADIDAS CELEBRATES DIVERSITY, SUPPORTS INCLUSIVENESS AND ENCOURAGES INDIVIDUAL EXPRESSION IN OUR WORKPLACE. WE DO NOT TOLERATE THE HARASSMENT OR DISCRIMINATION TOWARD ANY OF OUR APPLICANTS OR EMPLOYEES. WE ARE AN EQUAL OPPORTUNITY EMPLOYER.
    JOB TITLE:
    Junior Decision Scientist - Digital Hype Analytics
    BRAND:
    adidas
    LOCATION:
    Amsterdam
    TEAM:
    Digital
    STATE:
    NH
    COUNTRY/REGION:
    NL
    CONTRACT TYPE:
    Full time
    NUMBER:
    408468
    DATE:
    Dec 21, 2021
     
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