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- Tasks: Analyse customer data to drive insights and support decision-making across ecommerce and retail.
- Company: Crew Clothing Company blends British heritage with innovation in fashion, focusing on customer-centric strategies.
- Benefits: Enjoy a collaborative work culture, opportunities for growth, and the chance to shape data-driven strategies.
- Why this job: Be part of a transformative team that values creativity and insight, impacting multiple brands.
- Qualifications: 4+ years in data roles, advanced SQL skills, and experience with predictive modelling in retail.
- Other info: Work in Kingston-on-Thames with a full-time commitment in a fast-paced, multi-brand environment.
The predicted salary is between 24000 - 36000 ÂŁ per year.
Join to apply for the Customer Data Analyst role at Crew Clothing Company
Join to apply for the Customer Data Analyst role at Crew Clothing Company
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
- Experience supporting data or digital transformation projects
- Knowledge of Google Analytics and broader digital marketing measurement tools
Skills
Customer Analysis
CRM
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Retail
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Customer Data Analyst employer: Crew Clothing Company
Contact Detail:
Crew Clothing Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data 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 SQL and BI tools like Power BI and Looker Studio by preparing examples of how you've used them in past roles. This will help you illustrate your technical skills and how they can benefit Crew Clothing Company.
✨Tip Number 3
Research Crew Clothing Company's brand portfolio and their approach to data-driven strategies. Understanding their business model and how they integrate multiple brands will allow you to tailor your insights and recommendations during discussions.
✨Tip Number 4
Prepare to discuss how you've successfully collaborated with cross-functional teams in previous roles. Highlighting your ability to communicate complex data insights to non-technical stakeholders will be crucial in demonstrating your fit for this collaborative position.
We think you need these skills to ace Customer Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Customer Data Analyst position at Crew Clothing Company. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in data analysis, particularly in retail or ecommerce environments. Mention specific predictive models you've worked with and any relevant tools like SQL, Power BI, or Looker Studio.
Showcase Communication Skills: Since the role requires strong storytelling abilities, include examples of how you've effectively communicated complex data insights to non-technical stakeholders. This could be through presentations, reports, or dashboards you've created.
Tailor Your Application: Customise your cover letter to reflect your understanding of Crew Clothing Company's values and mission. Discuss how you can contribute to their data-driven strategies and support their transformation into a unified digital ecosystem.
How to prepare for a job interview at Crew Clothing Company
✨Showcase Your Data 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 Brands
Familiarise yourself with Crew Clothing Company's portfolio of brands. Understanding their market positioning and customer base will help you tailor your insights and recommendations during the interview.
✨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 ability to analyse data and create visualisations that tell a compelling story.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to engage non-technical stakeholders is crucial, so focus on how you can make data accessible and actionable for various teams.
