At a Glance
- Tasks: Transform commercial data into insights that drive better decision-making for eCommerce.
- Company: Join Newell Brands, home to iconic brands and a collaborative culture.
- Benefits: Flexible hybrid working, unlimited LinkedIn Learning access, and employee recognition programmes.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make an impact by analysing data and supporting key commercial decisions in eCommerce.
- Qualifications: Experience in category analysis and strong skills in Excel and data visualisation tools.
The predicted salary is between 54000 - 66000 £ per year.
Location: London (Hammersmith)
Reports to: Senior Manager, Customer Marketing, eCommerce
Contract type: Permanent
Your Role & Team in a Nutshell
As an eCommerce Category Analyst, you will support the Amazon EMEA team by turning commercial data into clear insights that enable better decision-making. You will connect sales, category, pricing, promotional and online retail signals to explain what is changing, why it matters and where the strongest opportunities lie. Your work will give Category and Sales leaders a trusted view of performance, helping them act with greater confidence across brands, markets and major retail events.
You will have the space to build your commercial judgement, strengthen your analytical storytelling and learn from regional partners. We will help you achieve your goals and develop by providing regular feedback and access to online training courses.
Your Key Responsibilities:
- Create a clear performance story using trusted scorecards and data, covering sales against plan, category and market share, pricing, product mix, availability, promotions and online retail performance.
- Investigate performance changes by structuring and interpreting complex data, identifying the reasons behind movements in sales, profitability, traffic, conversion, availability, price and product mix.
- Connect insight across data sources including Amazon Vendor Central, CommerceIQ, business intelligence tools and internal commercial data, highlighting patterns, risks and trade-offs.
- Support commercial decisions with timely analysis for weekly sales discussions, monthly and quarterly business reviews, and senior leadership updates.
- Measure major retail events by creating pre-event baselines, live trading views and post-event reviews for Prime Day, Black Friday, Cyber Monday and other priority moments.
- Identify portfolio opportunities across pricing, promotions, product range, hero products, exclusives, assortment gaps and potential sales substitution between products.
- Bring category and online retail performance together by monitoring search visibility, content, ratings, availability, traffic, conversion and competitor movements across countries.
- Turn findings into action through concise recommendations, clear assumptions and practical action tracking, while partnering with Category, Sales, Data Management and regional Analytics and Insights teams.
What You’ll Need
Minimum:
- Experience in category analysis, commercial analysis, category development, revenue growth analysis or a similar analytical role, ideally within consumer goods, retail or eCommerce.
- Strong MS Excel skills, with confidence interpreting and analysing data using Power BI, Tableau or similar business intelligence tools.
- Ability to turn data into clear commercial insights, focused visualisations and concise recommendations.
- Experience working with incomplete, inconsistent or conflicting data, using sound judgement to identify trends, test assumptions and draw conclusions.
- Strong written and verbal communication skills, with the ability to explain insights clearly and collaborate effectively with different stakeholders.
Your advantage:
- Strong interest in understanding sales performance, pricing, product mix, market share, promotions and profitability.
- Familiarity with Amazon Vendor Central, CommerceIQ or other eCommerce and retail data sources.
- Experience using AI tools to support analysis, improve efficiency and strengthen insight generation.
- Curious, proactive and quick to learn new tools, systems and ways of working.
- A degree or equivalent practical experience.
What You Gain
Newell Brands has a strong footprint in the EMEA region, with several thousand employees spread over many corporate offices and manufacturing facilities. You might recognise some of our iconic brands, like Parker, Sistema, Spontex, Crockpot, NUK, Coleman, and Yankee Candle, to name a few.
Join us and benefit from:
- Flexible hybrid working system (on average 3 days in the office and 2 days at home p.w.)
- Unlimited access to LinkedIn Learning – 17,000+ courses for your professional and personal development
- Bravo – our global recognition programme where teammates can recognise each other and exceptional work is rewarded
- Employee Referral Program – an opportunity to get a bonus
- Global Employee Assistance Program – confidential support for you and your family, complementing our commitment to your well-being at work and beyond
- Corporate Citizenship Philosophies – environmentally sustainable and socially sensitive business practices – paid time-off for charity activities dedicated for local communities right where you live/work
- Access to Employee Resource Groups that foster an inclusive culture
- Core Values: Integrity, Teamwork, Passion for Winning, Ownership, Leadership
Category Analyst - eCommerce in London employer: Newell Brands
At Fradley DC, we pride ourselves on fostering a dynamic work environment that champions continuous improvement and operational excellence. As a DC PEAK Assistant, you will benefit from comprehensive training and development opportunities, allowing you to enhance your skills while contributing to meaningful projects that drive efficiency and productivity. Our collaborative culture encourages innovation and teamwork, making Fradley an exceptional place to grow your career in logistics and operations.
StudySmarter Expert Advice🤫
We think this is how you could land Category Analyst - eCommerce in London
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We think you need these skills to ace Category Analyst - eCommerce in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
