Job Properties
  • Job Type
    Full-time Position
  • Category
    Marketing, Communication & Advertising
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Amsterdam
    • Date Posted
      December 22,2021
    • Entrusting Package
    • JSS
    • VISA
    • MOCKINTERVIEW
    • IMG_6430
    • Career Consultation
    • COVERLETTER CHECK

    Decision Scientist - Digital Growth Analytics

    General Purpose:

    As a Decision Scientist you will apply the full analytics toolkit to deliver analytics solutions on a variety of topics (i.e. members’ lifecycle management, consumer engagement, digital marketing and business performance), to enable make fact-based decisions. You will hold the business accountable that data capabilities are being used to drive value. You will translate insights into actions that drive strategic and operational decisions. This role 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:

    • Partner with our business teams to make well-informed decisions backed by Digital data.
    • Apply expertise in data analytics and statistics to answer key business questions.
    • Focus on understanding and analysing data from the past and present perspectives to produce reliable insights for our stakeholders.
    • Translate data insights into actions and recommendations that will drive membership, digital growth and other key initiatives.
    • Understand stakeholders through feedback sessions to ensure deliverables are relevant to changing needs and expectations.
    • Educate stakeholders on the value of data capabilities and hold them accountable on the use of them within their team and organization.
    • Empower the business to use data with confidence through upskilling and self-service capabilities.

    Analytics / Reporting:

    • Develop quantitative analysis, tools, ad hoc reports and models to support decision making. Analysis areas might include (but not limited to): members’ lifecycle management, consumer engagement, digital marketing and business performance.
    • Produce data visualization such as charts, infographics and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively.
    • Work as part of Agile product teams (e.g. Scrum / Kanban) to deliver business value.

    Requirements, Education & Professional Experience:

    • A degree in mathematics, economics, statistics, computer science or a similar quantitative field.
    • 5+ years of experience in data analytics, data modeling, decision science or a similar function, applying experimentation methods to test various hypotheses for generating consumer / product / marketing / business insights and influencing data-driven decision making.

    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. Extensive knowledge of packages such as NumPy, Pandas etc. Knowledge of Spark would be an added advantage.
    • Experience with SQL (e.g. aggregate functions, joins) NoSQL, Hadoop or other data querying languages.
    • Good data visualization skills e.g. Tableau, Microstrategy, Power BI, matplotlib, plotly or something similar.
    • Experience working with tech teams e.g. IT, data science and data governance.
    • Basic understanding of machine learning / deep learning would be a plus as well.
    • Fluent in English both verbally and written.

    Soft-Skills:

    • Experience communicating with cross-functional business stakeholders including product experience, strategy & innovation, markets, digital growth etc.
    • Good communication skills, comfortable presenting complex topics in a clear and understandable way.
    • 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:
    Decision Scientist - Digital Growth Analytics
    BRAND:
    adidas
    LOCATION:
    Amsterdam
    TEAM:
    Digital
    STATE:
    NH
    COUNTRY/REGION:
    NL
    CONTRACT TYPE:
    Full time
    NUMBER:
    408568
    DATE:
    Dec 21, 2021
     
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