Insight Manager - Trade

Insight Manager - Trade

Job Overview

Location
London, England
Job Type
Full Time Job
Job ID
19379
Date Posted
5 months ago
Recruiter
Alice Lidze
Job Views
55

Job Description

The ultimate goal of the Insight & Analytics team at ASOS is to drive value from data. We partner with stakeholders to solve complex business problems by interrogating, interpreting and synthesising information about our customers, products, onsite experience and marketing, in light of market intelligence and strategic context to generate strategic insights. We ensure our decisions are focussed on fashion loving 20 somethings globally and support our short- and long-term financial targets. We love pushing the boundaries of our technical capabilities and championing a test and learn mindset. The ASOS customer is at the heart of everything we do. 

 

We are also big on development and upskilling – not only will the successful candidate have the knowledge, skills and tools of the wider insight team at its disposal, but they will also have the opportunity to join an accredited data fellowship with our partners at Multiverse. 

  

THE ROLE 

As the Insight Manager for Trade you will be supporting the Commercial Planning and Trading teams and play a significant role in understanding and informing business performance and leading on insight deliverables for ASOS Operating Board.  

 

You will be responsible for… 

  • Generating insight that gives a well-rounded view of sales drivers with analysis on retail product and stock, marketing channels and promotions, customer metrics and market intelligence to support business’ understanding of short and mid-term performance 

  • Working with Senior Insight Managers, Head of Insight, and senior leadership within Commercial and Trading functions to bring insight and recommendations to ASOS Operating Board and other relevant trade forums, that will enable nimble and insight-led decision-making 

  • Working with senior stakeholders in Commercial Merchandising to understand sales drivers at division and category level, and identifying relevant levers at hand to ensure we meet financial targets 

  • Working with Lead Analyst and Global Planning to drive a view of opportunity within stock planning and management across our global warehouses and how this affects short-term performance 

  • Working with Digital Commerce and Digital Experience to generate insights that seek to educate the business on the impact that onsite customer behaviours and visual merchandising actions can have on trading KPI’s 

  • Working with the Senior Manager and Trading senior leadership to develop and prioritise a roadmap of relevant, strategic insight 

  • Producing and delivering concise, action-focused insight presentations that have a clear narrative  

  • Managing, coaching, and developing a team of analysts of varying skillset 

  • Working with other Insight team members, as well as stakeholders, to ensure the recommendations we deliver to the business are aligned and informed with commercial background 

  • Challenging existing analysis processes to improve efficiencies, and challenging analytical methodologies to improve accuracy of insights and maintain a focus on keeping the business and team at the forefront of analytics approaches  

  • Champion retail data and insight across the wider insight team, ensuring correct methods and metrics are used 

 

SKILLS & EXPERIENCE 

  • Experience working in a digital analytics role focussing on retail insight, preferably within the e-commerce space 

  • Highly numerate and strong attention to detail 

  • Passion for problem solving 

  • Proactive approach and enthusiasm for sharing ideas and driving them forward  

  • Able to communicate information clearly and concisely 

  • Good project management skills, able to handle multiple tasks and manage priorities as needed  

  • Bachelor’s Degree or equivalent in a relevant quantitative discipline (e.g. Mathematics, Economics, Business, Finance) 

  • Advanced SQL skills  

  • Strong web analytics skills (Adobe, Google Analytics) 

  • Regression analysis/statistical modelling 

Job ID: 19379

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