Manager Business Insights and Reporting, Alliance Key Accounts

1 week geleden

Amsterdam, Noord-Holland, Nederland Adidas Voltijd

As a member of the Data & Insights function for the AKA (Alliance Key Account) as part of the Lifestyle Sales Team this role has direct responsibility for the creation, visualization, and actionable insights extraction, of data-led reporting to accelerate Net Sales, Sell-out & profitable Market share. Through these insights, this role will positively influence the commercial (Sales), Digital (DPC) & Product (GTM) teams in their responsibilities to maximize sell-in & sell-out of adidas products respectively.

Key Responsibilities:

Serve as a core point of contact & expert for area / account of responsibility, specifically relating to data collection, processing, visualization, and reporting. Concurrently, add further value to provided reporting through identifying relevant insights, actions, and recommendations. Pursuing excellence in accuracy & automation of data reporting, you will continuously look to improve how we deliver data and insights into key business stakeholders. Own weekly & Monthly reporting delivery, pro-actively providing relevant insights and suggested actions. Present results, insights and suggested actions in weekly trade and monthly / quarterly review forums. Focusing on presenting with impact / influencing stakeholders, through both the creation of relevant reports & presentations and considering flow of communication. Support Relevant commercial / brand teams in performing deep dive analysis into identified areas of need / focus. Use available data to create and maintain future sell-out projection models and utilizing the results to provide relevant insights to impact future planning. Own the planning and execution of report development and improvement – reacting to new tools & business priorities as needed. Lead the roll-out of new reporting into relevant business stakeholders, including upskilling & feedback etc. Collaborate closely, and actively build relationships, with commercial, brand, digital stakeholders on individual account, alongside peers across the analytics community in the relevant geography. Maximize the depth of insight generation, and drive synergies, by leveraging data points across the full spectrum of granularity – including online/offline, Internal / External, geographies, categories, genders, product types, price points, colorways etc. Through these insights, provide the business recommendations relating to ideal product assortments, depths of buys, breadth of ranges, replenishment opportunities and other key insights to help accelerate the adidas business.

Key Relationships:

AKA / Cluster Commercial lead & team AKA / Cluster Analytics lead & team. AKA / Cluster Brand Teams. Europe & Global IT / Analytics teams. Europe & Global DPC External Account Teams (Where relevant)

Knowledge, Skills and Abilities :

Advanced Excel skills and high proficiency in spreadsheet analyses Strong experiences with visualizations tools (PowerBI current adidas platform of choice) Wider knowledge and understanding of industry leading analytic tools & Software (e.g. Adobe, Google Analytics, Alteryx, Lakehouse etc.) Understanding and experience in future forecasting models (E.g. WSSI) & business forecasting approaches Ability to produce clear and insightful visuals from large datasets and confidently present data led analysis to management. Solution-oriented and driven, with a focus on achieving results Keen interest in deriving insights from large data sets. Ability to derive the inter-connected nature between various data points. Highly motivated, with the ability to work in deadline driven environment. Fluency in English is a must; another European language would be beneficial.

Requisite Education and Experience / Minimum Qualifications:

University degree is preferred preferably from a retail or wholesale environment. Mindset: Curious, Questioning, agile, pro-active & action oriented Experience in developing automated reports & extracting actionable insights from large data sets. Experience working with digital metrics & a history of leveraging these to increase sales performance.

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