Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Produce insightful reports and analyse consumer data to drive business decisions.
- Company: Join Retail Economics, a leading consultancy trusted by top brands like TikTok and Amazon.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact with your analytical skills and help businesses thrive in the retail sector.
- Qualifications: Strong analytical and communication skills; experience with consumer data is a plus.
- Other info: Collaborative environment with a focus on innovation and AI-driven insights.
The predicted salary is between 36000 - 60000 £ per year.
Retail Economics is an independent economics consultancy specialising in creating powerful thought leadership research to help businesses become leaders in their industry. We work with some of the best, including NatWest, TikTok, Microsoft, Amazon, InPost, Vinted, CMS, RMS, Barclays and many others. They trust us to produce exceptional research that positions them as leaders in the industry.
Our services encompass retail market data, forecasting, thought leadership, and data visualisation tools to empower businesses with the understanding needed to thrive. As a trusted and independent partner recognised in high-profile media, Retail Economics delivers clear, evidence-backed analysis to help clients gain a competitive edge and inform critical business decisions.
This is a full-time hybrid role for a Senior Retail Research Analyst / Economist, based in the London Area, United Kingdom, with flexibility for remote work.
Key responsibilities:- Producing high-quality written reports
- Analysing consumer panel data, and producing insightful analysis and commentary
- In-depth market and economic research
- Delivering data-driven insights to clients
- Presenting key findings to clients
You will also collaborate with cross-functional teams to produce social media posts, press releases, and client presentations. It is highly desirable that you have experience working with consumer panel data, analysing panel data and can formulate compelling storytelling through data. Use of AI is a core part of our processes. Advanced prompt engineering, coding, vibe coding, and automation are all highly desirable.
Qualifications:- Strong analytical skills to interpret data, identify trends, and propose actionable recommendations.
- Proficient in market research and research methodologies, with experience in gathering and analysing consumer and retail data.
- Knowledge of statistics and quantitative analysis, including familiarity with tools and techniques for data processing and visualisation.
- Exceptional communication skills, with the ability to present complex insights in a clear, concise, and engaging manner.
- Bachelor's or Master's degree in Economics, Business, Data Science, or a related field.
- Proven experience in the retail or consumer sector is strongly preferred.
- Ability to work collaboratively in a team-oriented environment, as well as independently when needed.
Senior Retail Research Analyst / Economist in London employer: Retail Economics
Contact Detail:
Retail Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Retail Research Analyst / Economist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its clients. We want you to show off your knowledge about Retail Economics and how you can contribute to their success. Tailor your answers to reflect their values and needs.
✨Tip Number 3
Practice your presentation skills! As a Senior Retail Research Analyst, you'll need to present complex data clearly. We suggest rehearsing with friends or using online tools to get comfortable with your delivery.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Retail Research Analyst / Economist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Retail Research Analyst role. Highlight your experience with consumer panel data and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Showcase Your Storytelling Skills: Since storytelling through data is key, include examples in your application where you've turned complex data into compelling narratives. This will help us understand your ability to communicate insights effectively, which is crucial for this role.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to convey your ideas, as we appreciate clarity in communication. Remember, we’re looking for someone who can present complex insights in an engaging manner!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at Retail Economics!
How to prepare for a job interview at Retail Economics
✨Know Your Data
Make sure you brush up on your knowledge of consumer panel data and market research methodologies. Be ready to discuss specific examples of how you've analysed data in the past and the insights you derived from it. This will show that you can hit the ground running.
✨Craft Your Story
Prepare to present your findings in a compelling way. Think about how you can turn complex data into engaging narratives. Practise explaining your analysis as if you're telling a story, which will help you connect with your interviewers and demonstrate your communication skills.
✨Familiarise with AI Tools
Since the role involves using AI for data processing and visualisation, make sure you’re familiar with relevant tools and techniques. If you have experience with prompt engineering or automation, be ready to share how you've used these in your previous roles.
✨Collaborative Mindset
Highlight your ability to work in a team-oriented environment. Prepare examples of how you've collaborated with cross-functional teams in the past, especially when producing reports or presentations. This will show that you can thrive in their collaborative culture.
