Senior Customer Analyst

Crew Clothing Head Office; Kingston upon Thames; On-site; GBP 45,000 - 60,000; Full time

Job summary

A UK-based fashion company is looking for a Senior Customer Analyst to drive customer and commercial insights across ecommerce and retail. The ideal candidate will have at least 4 years in a data-led role and expertise in predictive modeling and analytics platforms. This role offers the opportunity to shape data strategies during a period of transformation. Join us in Kingston upon Thames to make impactful decisions based on data.

Qualifications

• Minimum of 4 years’ experience working in a data-led role.
• Proven experience in a data or customer analyst role within retail or ecommerce.
• Ability to build models independently.

Responsibilities

• Deliver actionable customer insights across ecommerce and retail.
• Build and deploy predictive models for planning.
• Partner with stakeholders to guide decision-making.
• Lead presentation of insights to non-technical stakeholders.

Skills

Data-led role experience

Advanced SQL skills

Power BI experience

Predictive modelling techniques

Strong communication skills

Commercial acumen

Tools

Looker Studio

Apteco FastStats

Job description

Social network you want to login/join with:

Senior Customer Analyst, Kingston upon Thames

col-narrow-left

Client:

Crew Clothing Head Office

Location:

Kingston upon Thames, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

d9cdce514a7d

Job Views:

5

Posted:

12.08.2025

Expiry Date:

26.09.2025

col-wide

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