Merchandiser Analyst

Merchandiser Analyst

Full-Time 29700 - 36300 £ / year (est.) Home office (partial)
FitFlop

At a Glance

  • Tasks: Analyse product performance and provide insights to support merchandising decisions.
  • Company: Join FitFlop, a brand committed to inclusivity and innovation.
  • Benefits: Enjoy flexible working, generous holiday, and career development opportunities.
  • Other info: Dynamic team culture with a focus on personal growth and well-being.
  • Why this job: Make an impact by turning data into actionable insights for a leading footwear brand.
  • Qualifications: Strong analytical skills and experience in merchandising or retail analysis.

The predicted salary is between 29700 - 36300 £ per year.

As Product Merchandising Analyst, you will play a key role within the Product Merchandising team, providing the analysis, insight and tools needed to support commercial decision making across the Fit Flop product portfolio.

Working closely with the Head of Product Merchandising and Product Merchandisers, you will analyse sell-in, sell-out, product performance, forecasting and margin, turning data into clear commercial insights and recommendations.

You will develop and maintain reporting and BI tools, support seasonal planning by segment and create forecasting tools that enable the team to make informed decisions at key stages of the product lifecycle.

The Responsibilities

  • Product & Commercial Analysis
  • Deliver regular sell-in and sell-out analysis, identifying key trends, risks and opportunities.
  • Analyse product performance by season, segment, category, product family, market and channel.
  • Track key commercial KPIs including sales, units, ASP, margin, productivity and mix.
  • Provide clear commentary and recommendations to support Product Merchandising and Product team decisions.
  • Deliver post-season analysis and learnings to inform future product strategy.
  • Seasonal Planning & Forecasting
  • Support the Head of Product Merchandising in developing seasonal range plans by segment, aligned to the wider product strategy.
  • Develop forecasting tools to support the Product Merchandising team at key seasonal milestones.
  • Forecast and track units, sales, ASP, margin and mix from initial range planning through to final adoption.
  • Provide scenario analysis and highlight gaps, opportunities and risks against seasonal targets.
  • BI, Reporting & Tools
  • Develop, maintain and improve BI dashboards and reporting, ideally using Power BI.
  • Create efficient, user-friendly tools that give the Product team clear visibility of product and commercial performance.
  • Automate reporting where possible to improve accuracy and efficiency.
  • Work with relevant teams to improve data quality, consistency and reporting processes.
  • Margin & Range Optimisation
  • Support the Product Merchandising team in driving and protecting margin across the collection.
  • Analyse the impact of cost, pricing, ASP, mix and product architecture on margin.
  • Identify margin risks and opportunities throughout the seasonal lifecycle.
  • Support range optimisation through analysis of productivity, performance and commercial potential.

The Person

  • Strong analytical and commercial mindset with the ability to turn data into clear insight and recommendations.
  • Experience in a merchandising, commercial analysis, retail, fashion, footwear or consumer product environment.
  • Advanced Excel skills and experience working with large datasets.
  • Experience with Power BI, Tableau, or another BI/data visualisation platform is highly desirable.
  • Good understanding of sales, sell-in, sell-out, forecasting and commercial performance.
  • Strong understanding of metrics including sales, units, ASP, margin, productivity and mix.
  • Excellent attention to detail and data accuracy.
  • Able to communicate complex analysis in a simple and commercially relevant way.
  • Proactive, curious and comfortable working cross-functionally.
  • Able to look beyond the numbers to understand what is happening, why it is happening and what we should do about it.

We recognise that not everyone will meet every requirement. If you're excited about this role and feel like you could add value, we'd love to hear from you.

The Benefits

  • Product Allowance
  • Hybrid and flexible working hours
  • Summer Fridays (6 ½ days in July and August on Fridays)
  • A day off for your Birthday
  • 25 days holiday + Bank Holidays
  • Work from anywhere for 2 weeks
  • Work Place Nursery (salary sacrifice scheme to save money on your nursery fees)
  • Wellbeing Program - Retail Trust, Sanctus Coaching and Calm App
  • Career development allowance ( Personal allowance to use on career development)
  • Private health care and or dental care (provided by AXA and Den Plan
  • Socials organised by Wellbeing and Feel Good group

• Check out our careers page to learn more!

Equal Opportunities

Fit Flop is an equal opportunities employer.

We are committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and supported.

We welcome applications from people of all backgrounds, regardless of age, gender identity, sexual orientation, disability, neurodivergence, ethnicity, religion or belief, or any other characteristic protected by law.

We actively encourage neurodivergent candidates and individuals with disabilities to apply.

If you require any reasonable adjustments during the application or interview process, please let us know.

We are committed to providing an accessible and supportive recruitment experience.

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Merchandiser Analyst employer: FitFlop

FitFlop is an exceptional employer that prioritises employee well-being and professional growth, offering hybrid working arrangements, summer Fridays, and a unique workplace nursery scheme. With a strong commitment to diversity and inclusion, the company fosters a supportive culture where every team member can thrive, while also providing career development allowances and private healthcare options. Located in a dynamic environment, FitFlop encourages innovation and collaboration, making it an ideal place for those looking to make a meaningful impact in the eCommerce sector.

FitFlop

Contact Details:

FitFlop Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Merchandiser Analyst

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We think you need these skills to ace Merchandiser Analyst

Analytical Skills
Commercial Analysis
Data Analysis
Forecasting
Reporting
Power BI
Excel

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at FitFlop, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at FitFlop

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

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Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

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