Director, Decision Science
adidas
full-time
Posted on:
Location Type: Office
Location: Amsterdam • Netherlands
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Job Level
About the role
- Responsible for the development of data solutions using the full analytics toolkit across the full analytics cycle: from framing business need, data exploration and modelling to operationalization.
- Work with various stakeholders and product owners to identify the most impactful opportunities for the application of data.
- Guide your team in developing data solutions that optimize decision making and consumer experiences.
- Hold the business accountable that data capabilities are being used to drive value.
- 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 analyzing 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.
- Provide input into the adidas data strategy to identify opportunities for the development of data assets.
- Along with business partners define the problem, formulate hypotheses and the decision-making parameters.
- Advise on the development quantitative analysis, tools, ad hoc reports and models to support decision making.
- Work as part of Agile product teams (e.g. Scrum / Kanban) to deliver business value.
- Drive continuous improvement and expansion of analytics capabilities/toolset.
Requirements
- A degree in mathematics, economics, statistics, computer science or a similar quantitative field.
- 10+ 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.
- 5+ years of professional experience in an international & cross-functional environment.
- Proven experience of leading an analytics function in a client-oriented structure.
- 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.
- 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 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.
- Understanding of machine learning / deep learning would be a plus as well.
- Fluent in English both verbally and written.
Benefits
- Culture Starts With People, It Starts With You
- Diversity, equity, and inclusion (DEI) initiatives
- Employee development programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsdata modelingdecision sciencestatistical modelingdata analysisPythonRSQLdata visualizationmachine learning
Soft Skills
stakeholder engagementteam leadershipcommunicationproblem-solvingdecision-makingcollaborationadaptabilityeducational skillscontinuous improvementclient-oriented