Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Retail, cx And Finance Data Analyst

ME AND EM
London
4 days ago
Create job alert

Job Role: Retail, CX and Finance Data Analyst

Reporting to: Retail Director

Location: Head Office, White City Place, West London

Contract type: 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.

Our office and stores are always busy and fast paced, but we work just as hard to make sure it's fun, with social activities and biannual parties. We pride ourselves on being approachable, supportive, and welcoming and ensure that everyone's hard work is rewarded. It takes all these things to build a strong, successful business and our door is always open to new talent ready to contribute to our growth and evolution.

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
    • Improve retail and Customer Care commercial results
    • Strengthen customer retention

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
  • Staff uniform for retail employees
  • Generous Staff and Friends and Family Discount
  • Annual Volunteer Day
  • Cycle to Work Scheme
  • Tech 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 [email protected] 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.
#J-18808-Ljbffr

Related Jobs

View all jobs

CRM Data Analyst

CRM Data Analyst

Data Architect (Contract)

Data Analyst (CRM) | Luxury Retail

Data Analyst (CRM) | Luxury Retail

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.