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adidas

Senior Manager Digital Analytics

adidas
Netherlands · Full-time · Not Applicable

At adidas as a Senior Manager Digital Analytics with focus on Product Analytics you are responsible for reporting tools, KPIs, insights and measurement primarily supporting ecommerce buying & planning teams. You and your team will be working with multiple data sets to generate insights that help adidas understand product purchase patterns to ultimately help drive sales and manage our inventory.

You will lead a small team and drive complex analytical projects; work on uncovering new insights, help to solve complex business problems, build better analytics processes and deliver new capabilities. Using both descriptive and advanced analytics, you will help adidas make more informed product, pricing and ranging decisions.

Through data, you enable the understanding of complex business questions: how price impacts our sales and profitability, how the products we range help to grow the value of our consumers and what tactics we can deploy on fast & slow moving articles.

You support with analytical tools to enable better product forecasts and enable adidas to plan for future and current seasons.

YOU GOT THIS and we are excited to be part of your journey.

Main TEAM RESPONSIBILITIES

Foundations & Automation:

  • Support in the automation of complex analytical data processes such as product forecasting
  • Ensure data quality and resolution of defects

REPORTS AND DASHBOARDS

  • Build and maintain self-service data tools in Power BI to track the performance of our products
  • Manage roadmaps and backlogs for development and enhancements
  • Build tools to best practices

Insights

  • Conduct deep dives into business problems and areas of underperformance
  • Identify opportunities to be more relevant to different consumer groups through our product offering
  • Combine product insights from different perspectives to give a 360 view on a product category (stock, price, industry & market insights, consumer, marketing)

Measurement

  • Define KPIs to measure the health of our products
  • Lead test measurement across pricing and ranging
  • Support with sizing opportunities to drive business growth

Advanced Analytics And Innovation

  • Use advanced statistical techniques to uncover trends not visible through descriptive insights
  • Pioneer usage of advanced analytics to support every-day decision making

Team Leadership

  • Oversee development and work-load of 2-4 direct reports
  • Manage and plan priorities with business stakeholders

Key Relationships

  • EU e-commerce teams (Buying & Planning / Trading / Outlet / Digital Visual Merchandising / Finance / Analytics)
  • Global Digital Analytics
  • Global Data Engineering

Technical-Skills

Knowledge, Skills and Abilities:

  • Extensive experience in data manipulation using SQL
  • POWER BI or equivalent data visualization tools such as Tableau or Looker
  • Experience working with statistics and usage of tools like R or Python
  • Confident working with multiple large data sets
  • Experience managing complex analytical projects end-to end

Business And Communication-Skills

  • Excellent communication skills: ability to articulate complex concepts clearly
  • Comfortable presenting to stakeholders at various organizational levels
  • People management experience a plus
  • Fluent in English

Requisite Education And Experience / Minimum Qualifications

  • University degree in a numerical/business discipline
  • Passion for sports and the adidas brand
  • 6+ years’ experience in an Analytical role
  • Experience in eCommerce/retail/merchandising or similar

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.

Key Skills

Ranked by relevance

data visualization power bi tableau
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Posted
Mar 06, 2025
Type
Full-time
Level
Not Applicable
Location
Amsterdam
Company
adidas

Industries

Manufacturing Retail Sporting Goods Manufacturing

Categories

Research Analyst Information Technology

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