Purpose & Overall Relevance for the Organization:

 

At adidas as a Manager – Web & App Analytics you will be responsible for optimizing our digital storefronts by leveraging the entire arsenal of digital analytics.

In this role your focus will be on driving innovative insights related to how our consumers are navigating adidas.com and our mobile apps. You will be responsible for Mid- to Lower-Funnel Experience insights in EU and collaborate with the business to minimize friction points from PLPs all the way to checkout. You will own dashboards and reports but also conduct deep-dive analyses to identify opportunities for optimizing the conversion funnel and create a seamless consumer experience, maximizing value for both our consumers and the organization.

You will be someone that is constantly curious, always asking the right questions whilst at the same time having a passion for data and uncovering insights about our business. This role has a great balance between data, business understanding and critical thinking.

As a team we believe in collaboration, high-energy, continuous learning, and celebrating (even small) wins. You benefit from flat hierarchies and will be exposed to various organizational levels. YOU GOT THIS and we are excited to be part of your journey.

 

Key Responsibilities:

 

Reporting & Insights:

 

Conduct deep dives into business problems and areas of underperformance across PLPs, PDPs, Cart & Checkout in both .com & app Own reporting on business performance during our commercial & campaign moments Proactively provide insights on potential missed opportunities that are currently not commercially capitalized on Become a go-to contact for the business around traffic & conversion questions Manage stakeholder analytics demand by delivering analytical solutions to ticket based business questions Support the EU Digital Experience team with onsite optimization through both proactive and reactive insights and analysis across 21 countries to enable data driven decision making

 

Reports & Dashboards:

 

Build and maintain self-service data tools in Power BI to track the business performance Manage backlogs for development and enhancements of our dashboards

 

Business Partnership:

 

Develop strong relationships with business stakeholders to understand their goals, objectives, outline analytical requirements, provide solutions to business needs and join forces in driving business improvement and onsite optimization Ensure analytics results drive consumer experience and business impact and help achieve commercial goals Become a strong business partner to CX & Digital Visual Merchandising teams to influence our wayfinding and personalization agenda via mechanics such as sorting, filters, shop-the-look, navigation optimization, etc. Live the “So What?”-attitude and be critical to yourself and your stakeholder in how each task contributes to creating value for adidas

 

Measurement:

 

Conduct measurement of test results and generate recommendations for feature rollouts Apply statistical methodologies to maximize robustness of your insights Lead sizing of opportunities to drive business growth

 

Foundations & Automation:

 

Drive the automation of analytical data processes (e.g. forecasting) Drive strong data quality processes and resolution of defects Ensure KPI definitions adapt to the changing nature of the business & data privacy regulation

 

Key Relationships:

 

EU e-commerce teams (Digital Visual Merchandising, Consumer Experience, Activation) EU Data Foundations EU Decision Science Global Digital Analytics

 

Knowledge, Skills, and Abilities:

 

Hard-Skills:

 

Fluent in English both verbally and written. Extensive experience with web or app analytics tools like Adobe analytics / amplitude. Confident working knowledge of SQL. Power BI or equivalent data visualization tools such as Tableau or Looker. Extensive knowledge of Digital Experience landscape, processes and KPIs. Excellent project management skills, including the ability to lead projects or work on several projects simultaneously. Hands-on experience with statistical modelling is a plus.

 

Soft Skills:

 

Strong interpersonal skills, strong hands-on mentality, and can-do attitude. Strong communication skills: ability to articulate complex concepts clearly. Ability to identify friction points in the user journey from the perspective of our consumers. Comfortable presenting to larger groups or senior stakeholders.

 

Requisite Education and Experience / Minimum Qualifications:

 

Bachelor’s degree equivalent in Business Management, Business Intelligence, Computer Science, Information Technology or similar field of study, a Master degree is a plus. At least 4 years’ experience in the data analytics field, with a focus on web or app analytics / CRO / digital merchandising considered desirable. Passion for data, technology, eCommerce, digital and sports is a plus.