Retail, CX and Finance Data Analyst

Retail, CX and Finance Data Analyst

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse retail and customer data to drive insights and support key business decisions.
  • Company: Join ME+EM, a fast-growing luxury fashion brand with a vibrant culture.
  • Benefits: Enjoy 33 days annual leave, birthday off, and generous staff discounts.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.
  • Why this job: Make an impact in a dynamic environment while working with data in the fashion industry.
  • Qualifications: Experience in analytics, strong data skills, and a passion for retail.

The predicted salary is between 35000 - 45000 £ per year.

Reporting to: Retail Director

Location: Head Office, White City Place, West London

Contract type: 12 month Fixed Term Contract - Full Time, 37.5 hours per week

About Us

ME+EM is one of the UK’s fastest-growing luxury fashion brands. In addition to a thriving global digital presence, we operate flagship stores in London, Manchester and Edinburgh, concessions within Harrods and Selfridges, and have recently expanded with new store openings in the U.S. At ME+EM we are an entrepreneurial, creative, and passionate group of people. We work hard, are enthusiastic to learn and are not afraid to take risks. Everyone contributes to our success at all levels, and that precisely what makes being a member of the team so rewarding.

About the Role

ME+EM is looking for a Retail, CX and Finance Data Analyst with experience in retail and customer analytics to join our marketing team. This is an analytical role in a fast-paced environment, so we’re looking for someone who is inquisitive and meticulous. The successful candidate will report to Retail Director with dotted line to Head of Commercial Analysis working closely with the rest of the Retail, CX and Finance teams as well as the data team.

Responsibilities

  • Business & Commercial Analytics
    • Understand business processes through data to provide actionable insights.
    • Produce analysis to support key commercial decisions, particularly in retail and finance, including new store openings.
    • Build weekly and monthly commercial KPIs, customer metrics, and insight dashboards for stores and Customer Care using data visualisation tools.
    • Apply the scientific method to operational KPIs to measure performance of retail stores, pop-ups, events, and digital sales channels.
    • Identify opportunities for new store openings through data analytics, including sales cannibalisation reporting between stores and channels.
    • Develop predictive models, working with the Retail & Customer Experience Director and Head of Commercial Analysis, to support retail sales forecasting.
  • Customer Insights & Reporting
    • Design and deliver monthly and quarterly customer insights reports, including product/category trends, seasonal changes, purchase frequency drivers, and returns data analysis.
    • Produce weekly/monthly reports on customer ordering behaviour and product trends across stores and Customer Care.
    • Provide ad hoc customer insights reporting as requested by leadership.
    • Measure and report on store performance for customer satisfaction.
    • Use data to identify opportunities to increase customer base and market share and improve retail and Customer Care commercial results.
  • Clienteling Analytics
    • Measure the effectiveness of clienteling campaigns across UK, US, and international markets.
    • Identify customer segments for campaigns, highlighting trends and opportunities.
    • Conduct A/B testing and performance analysis of clienteling campaigns.

Skills

  • Proven experience in an analytical role, ideally within retail or customer-focused industries.
  • Strong ability to work with large data sets (transactional and online).
  • Proficiency in data visualisation tools to report on quantitative data and generate insights.
  • Experience extracting and integrating data from multiple systems.
  • Skilled in customer segmentation and personalisation models, including VIP program development and analysis.
  • SQL literacy and experience with Snowflake (preferred).
  • Ability to challenge existing thinking and champion data-driven decision making.
  • Strong relationship-building skills to work cross-functionally and foster a data-informed culture.
  • Passion for the fashion and retail industry.

Employee Benefits

  • 33 days annual leave for full time employees (25 days holiday + 8 bank holidays)
  • A day off to celebrate your birthday.
  • Pension Scheme
  • Group Life Insurance
  • Employee Assistance Programme (EAP)
  • Length of Service Award
  • Refer a Friend Scheme
  • Generous Staff and Friends and Family Discount
  • Cycle to Work Scheme
  • Eye Care Vouchers
  • Real Living Wage Employer
  • Employee led committees
  • Social events and biannual parties
  • Enhanced maternity and paternity package after 2 years of service.

ME+EM is an equal opportunities employer committed to fostering and preserving a culture of diversity, equality, and inclusion in our workforce. As an equal opportunities’ employer, we do not discriminate against applicants based on race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diversity enriches our workforce and strengthens our organisation. Therefore we encourage minorities, LGBTQ+ candidates, and individuals with disabilities to apply for opportunities within our company.

Please email dex.moore@meandem.com should you require any adjustments needed to take part in this recruitment process. Please note, due to the large number of applications we receive, we can only reply to those that are successful to the next stage.

Retail, CX and Finance Data Analyst employer: Me-Em-1

At ME+EM, we pride ourselves on being one of the UK’s fastest-growing luxury fashion brands, offering a vibrant and inclusive work culture that fosters creativity and collaboration. Our employees enjoy generous benefits such as 33 days of annual leave, a supportive environment for personal growth, and opportunities to contribute to meaningful projects in a dynamic setting at our Head Office in White City Place, West London. Join us to be part of a passionate team where your insights will directly influence our retail and customer experience strategies.

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Contact Details:

Me-Em-1 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Retail, CX and Finance Data Analyst

Tip Number 1

Get to know the company inside out! Research ME+EM's values, recent news, and their approach to retail and customer experience. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 3

Prepare for the interview by practising common questions related to data analysis and retail insights. Think about how your skills can directly benefit ME+EM, especially in areas like customer segmentation and performance measurement.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the ME+EM family!

We think you need these skills to ace Retail, CX and Finance Data Analyst

Analytical Skills
Data Visualisation
SQL Literacy
Data Integration
Customer Segmentation
Predictive Modelling
A/B Testing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Retail, CX and Finance Data Analyst role. Highlight your experience in retail analytics and any relevant skills that match the job description. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to showcase your passion for data analysis and the fashion industry. Tell us why you're excited about this role at ME+EM and how your background makes you a perfect fit.

Show Off Your Analytical Skills:In your application, don’t forget to mention specific tools and techniques you’ve used in previous roles. Whether it's SQL or data visualisation tools, we want to know how you've applied your analytical skills to drive results.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our amazing team at ME+EM!

How to prepare for a job interview at Me-Em-1

Know Your Data

Before the interview, brush up on your data analysis skills, especially in retail and customer analytics. Be prepared to discuss specific examples of how you've used data to drive business decisions or improve customer experiences.

Show Your Passion for Fashion

ME+EM is all about luxury fashion, so make sure to express your enthusiasm for the industry. Share any relevant experiences or insights you have about current trends, customer behaviours, or even your favourite brands to show that you’re genuinely interested.

Prepare Insightful Questions

Think of thoughtful questions to ask during the interview. This could be about their data strategies, how they measure customer satisfaction, or what tools they use for data visualisation. It shows you're engaged and eager to contribute.

Demonstrate Cross-Functional Collaboration

Highlight your ability to work with different teams, as this role involves collaboration with various departments. Share examples of how you've successfully partnered with others to achieve common goals, particularly in a fast-paced environment.