Amazon Analyst (3495032)

Amazon Analyst (3495032)

Full-Time 34000 - 46000 ÂŁ / year (est.) No home office possible
I Love My Job Ltd.

At a Glance

  • Tasks: Analyse data to drive sales performance and shape marketplace strategies.
  • Company: Fast-growing, design-led homeware brand with a playful approach.
  • Benefits: Competitive salary, hybrid work model, and opportunities for growth.
  • Why this job: Make a real impact in a creative business with global reach.
  • Qualifications: 3 years in e-commerce analytics and strong data interpretation skills.
  • Other info: Collaborative team that values diversity, initiative, and fresh ideas.

The predicted salary is between 34000 - 46000 ÂŁ per year.

£40,000 – £50,000 Hybrid, London

We’re working with a fast-growing, design-led homeware and gifting brand whose products bring joy, creativity, and style into everyday life. Supplying thousands of high street retailers, independents, and online partners worldwide, this is a business known for quality, innovation, and a playful approach to design. We’re now looking for a high‑calibre Amazon Analyst to support UK and international marketplace growth. This is a deeply data-focused role where you’ll turn insight into strategy, driving sales performance and shaping how the business approaches Amazon and other online marketplaces. Reporting directly to the founder, you’ll play a key part in scaling a rapidly growing digital channel.

What You’ll Do:

  • Data‑Led Growth: Analyse sales performance, advertising metrics, traffic trends, and customer behaviour across Amazon and other key marketplaces to identify opportunities and risks.
  • Advanced Analytics: Build forecasting models, conduct cohort analysis, and interpret marketplace data to support strategic decision‑making.
  • Reporting & Dashboards: Develop and maintain clear, automated dashboards and KPI frameworks (Excel, Power BI, Tableau, or similar).
  • Advertising Performance: Evaluate Amazon Advertising (ROAS, ACOS, TACOS), track attribution, and recommend optimisation strategies across campaigns.
  • Pricing & Promotion Analysis: Review pricing effectiveness, promotional ROI, and elasticity of demand to maximise revenue and profitability.
  • Inventory & Forecasting: Analyse stock levels, lead times, and demand trends to optimise inventory flow, reduce stockouts, and minimise overstock.
  • Marketplace Optimisation: Identify underperforming ASINs or listings and provide insight‑driven recommendations to improve conversion and visibility.
  • Cross‑Functional Collaboration: Work closely with marketing, operations, and finance to ensure data informs decisions across the business.
  • Continuous Improvement: Develop and refine tools, templates, and analytical processes to improve marketplace management efficiency.

About You:

You’re an analytical, commercially focused problem‑solver with a deep understanding of Amazon performance metrics. You enjoy working with data, spotting patterns others miss, and turning your findings into clear, prioritised strategic recommendations.

Experience We’re Looking For:

  • 3 years in an Amazon/marketplace analyst role or e‑commerce analytics
  • Strong Excel/Google Sheets skills; experience with SQL, Power BI, Tableau or Python a strong advantage
  • Experience analysing Amazon Advertising campaigns and marketplace performance metrics
  • Ability to interpret complex data sets and present insights to senior stakeholders
  • Highly organised, proactive, and detail‑driven
  • Strong commercial awareness and problem‑solving ability
  • Comfortable influencing teams using data‑backed recommendations

Why Join?

This is your chance to have a tangible impact in a creative, design‑led business with global reach. You’ll work closely with the leadership team, see your insights turn directly into action, and help shape the future of the brand’s marketplace strategy. Expect a collaborative, down‑to‑earth team that values initiative, ideas, and growth.

Diversity & Inclusion: ILMJ values diversity, equality and inclusion and encourages applicants from all backgrounds and identities.

Amazon Analyst (3495032) employer: I Love My Job Ltd.

Join a vibrant, design-led homeware and gifting brand that champions creativity and innovation in a collaborative and inclusive environment. As an Amazon Analyst, you'll have the opportunity to make a significant impact on the company's growth strategy while working closely with the leadership team in a hybrid role based in London. With a focus on employee development and a culture that values initiative and fresh ideas, this is an excellent place for those looking to grow their careers in a meaningful way.
I Love My Job Ltd.

Contact Detail:

I Love My Job Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Amazon Analyst (3495032)

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your experience to demonstrate how you've turned data into actionable insights.

✨Tip Number 3

Don’t just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask if they need any more info from you.

✨Tip Number 4

Check out our website for the latest job openings. We’re always looking for talented individuals like you to join our team. Applying directly through us gives you a better chance of standing out!

We think you need these skills to ace Amazon Analyst (3495032)

Data Analysis
Sales Performance Analysis
Advertising Metrics Evaluation
Forecasting Models
Cohort Analysis
KPI Framework Development
Excel
Power BI
Tableau
SQL
Python
Amazon Advertising Campaign Analysis
Complex Data Interpretation
Commercial Awareness
Problem-Solving Skills
Cross-Functional Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Amazon Analyst role. Highlight your experience with data analysis, marketplace performance metrics, and any relevant tools like Excel or Power BI. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your analytical skills can drive growth for our brand. Keep it concise but impactful – we love a good story!

Showcase Your Data Skills: Since this role is deeply data-focused, make sure to showcase your analytical prowess. Mention specific projects where you've turned insights into actionable strategies, especially in e-commerce or Amazon settings. We’re all about those data-driven decisions!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at I Love My Job Ltd.

✨Know Your Data Inside Out

As an Amazon Analyst, you'll be knee-deep in data. Make sure you brush up on key metrics like ROAS, ACOS, and TACOS before the interview. Be ready to discuss how you've used data to drive sales performance in your previous roles.

✨Showcase Your Analytical Skills

Prepare examples of how you've built forecasting models or conducted cohort analyses. Bring along any dashboards you've created in Excel, Power BI, or Tableau to demonstrate your ability to turn complex data into actionable insights.

✨Understand the Business Landscape

Familiarise yourself with the brand's products and their market positioning. Be prepared to discuss how you would approach marketplace optimisation and what strategies you would recommend for improving underperforming ASINs.

✨Be Ready for Cross-Functional Collaboration

This role involves working closely with various teams. Think of examples where you've successfully influenced decisions using data-backed recommendations. Highlight your communication skills and how you can bridge the gap between data and strategy.

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