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- Tasks: Drive customer insights and predictive modelling to enhance ecommerce and retail strategies.
- Company: Join Crew Clothing, a dynamic British fashion brand blending heritage with innovation.
- Benefits: Enjoy a collaborative culture, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a transformative journey, shaping data strategies that impact real business outcomes.
- Qualifications: 4+ years in data roles, advanced SQL skills, and experience with predictive modelling required.
- Other info: Work in Kingston upon Thames with a passionate team focused on data-driven decision-making.
The predicted salary is between 42000 - 84000 £ per year.
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Senior Customer Analyst, Kingston upon Thames
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Client:
Crew Clothing Head Office
Location:
Kingston upon Thames, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
d9cdce514a7d
Job Views:
5
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
SENIOR CUSTOMER ANALYST
Role: Senior Customer Analyst
Department: Ecommerce (Data & Insights)
Reports to: Head of CRM & Data
Location:Kingston-on-Thames
Hours: 37.5
Crew operate a growing portfolio of British fashion
brands that balance heritage with innovation. We celebrate our customers by
creating data-driven strategies that meet their needs across ecommerce and
retail environments.
We believe in collaboration, creativity, and delivering
insight that drives meaningful decisions. This role is key to shaping data
strategy, driving commercial outcomes, and supporting our transformation as we
integrate multiple brands into a unified digital and retail ecosystem.
PURPOSE OF THE ROLE
This role is a strategic partner across the Group’s brand
portfolio, driving customer and commercial insight across ecommerce and retail.
You’ll build predictive models, develop segmentation strategies, and deliver
actionable insights that influence trading, product planning, forecasting,
budgeting, and digital optimisation.
You’ll work within the Data & Insights team, partnering
cross-functionally to bring data to life through storytelling, dashboarding,
and forecasting. This is a pivotal role in a period of transformation as the
Group unifies its data infrastructure and migrates multiple brands into a new
shared ecosystem.
KEY RESPONSIBILITIES
- Deliver
robust, actionable customer insights across ecommerce and retail teams
using internal and external data sources - Build
and deploy predictive models to support planning and forecasting (e.g.
Prophet for time series forecasting, price elasticity, lifetime value
modelling, attribution modelling, uplift modelling, LightGBM) - Partner
with product, trading, marketing and retail stakeholders to guide
decision-making using clear, data-led recommendations - Analyse
and visualise performance across customer journeys and ecommerce funnels,
recommending tests and experiments that drive growth - Lead
the interpretation and presentation of insights, making complex datasets
accessible to non-technical stakeholders - Design
and maintain dashboards and reports using Looker Studio and Power BI - Ensure
data integrity, drive quality standards, and proactively identify
opportunities for performance improvement
KEY SKILLS AND EXPERIENCE
- Minimum
of 4 years’ experience working in a data-led role, including direct
involvement in designing and applying predictive models in a commercial
setting - Proven
experience in a data or customer analyst role within a retail or ecommerce
environment - Advanced
SQL skills and experience using segmentation/reporting tools such as
Apteco FastStats - Experience
using BI and analytics platforms such as Power BI and Looker Studio - Exposure
to predictive modelling techniques (e.g. Prophet, LightGBM, price
elasticity, attribution modelling, uplift modelling) and ability to build
models independently - Strong
communication and storytelling skills with a talent for engaging
stakeholders at all levels - Commercial
acumen and ability to translate insight into action - Organised,
collaborative and able to prioritise in a fast-paced, multi-brand setting
DESIRABLE
- Familiarity
with ecommerce tools and platforms such as Ometria, ContentSquare, and
Fospha - Knowledge
of Google Analytics and broader digital marketing measurement tools
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Senior Customer Analyst employer: Crew Clothing Head Office
Contact Detail:
Crew Clothing Head Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Customer Analyst
✨Tip Number 1
Familiarise yourself with the specific predictive modelling techniques mentioned in the job description, such as Prophet and LightGBM. Being able to discuss these models confidently during your interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Showcase your experience with BI tools like Power BI and Looker Studio by preparing a portfolio of dashboards or reports you've created. This will not only highlight your technical skills but also your ability to present data in an accessible way.
✨Tip Number 3
Research Crew Clothing's current data strategies and recent initiatives. Being knowledgeable about their approach will allow you to tailor your insights and suggestions during discussions, showing that you're genuinely interested in contributing to their goals.
✨Tip Number 4
Prepare to discuss how you've previously collaborated with cross-functional teams. Highlighting your ability to engage stakeholders at all levels will demonstrate your fit for the collaborative culture at Crew Clothing.
We think you need these skills to ace Senior Customer Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, predictive modelling, and customer insights. Use keywords from the job description to demonstrate your fit for the Senior Customer Analyst role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your understanding of the retail and ecommerce landscape. Mention specific examples of how you've used data to drive commercial outcomes in previous roles.
Showcase Technical Skills: Emphasise your advanced SQL skills and experience with BI tools like Power BI and Looker Studio. Provide examples of predictive models you have built and how they impacted business decisions.
Prepare for Potential Assessments: Be ready to discuss your analytical approach and problem-solving skills. You may be asked to interpret data or present insights during the interview process, so practice explaining complex datasets in simple terms.
How to prepare for a job interview at Crew Clothing Head Office
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with predictive modelling and data analysis. Highlight specific projects where you've successfully built models or derived insights that influenced business decisions.
✨Understand the Company’s Data Strategy
Research Crew Clothing's approach to data and customer insights. Familiarise yourself with their brands and how they integrate data across ecommerce and retail to drive commercial outcomes.
✨Prepare for Technical Questions
Expect questions on SQL, Power BI, and Looker Studio. Brush up on your technical skills and be ready to demonstrate your knowledge of segmentation tools and predictive modelling techniques.
✨Communicate Clearly and Effectively
Practice explaining complex data concepts in simple terms. The ability to tell a story with data is crucial, so prepare examples of how you've engaged non-technical stakeholders in the past.