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ASOS

Senior Product Analyst

  • Hybrid
  • 6+ years

Salary

Not stated

Similar roles pay £65K - 95K a year · our estimate

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Description

You will work in the Product Analytics function, helping shape the next generation of customer-facing experiences at the company.

As a senior product analyst, you will lead how data guides product strategy, advise senior stakeholders, and create measurable results across the platform.

You will own the core KPIs and propose changes to the site and commercial offers, then test them to drive growth.

You will design and analyse experiments, and your findings will directly shape roadmaps and priorities.

You will work with product managers, UX designers and other teams to learn how customers use the platform and find the biggest opportunities, backed by solid evidence.

You will act as a thought partner to product leadership and help build a culture of experimentation, data-led decisions and continuous improvement.

The company is an online retailer serving fashion customers worldwide.

Responsibilities

  • Run in-depth analysis of customer funnels and journeys to find the biggest chances to lift conversion, engagement and retention.
  • Design, run and evaluate A/B tests and experimentation frameworks with sound statistics and clear business outcomes.
  • Spot growth opportunities early and shape priorities with data-led recommendations and the experiments you design.
  • Turn complex data into clear stories for both technical and non-technical audiences, including leaders.
  • Work with product managers and senior stakeholders to set product strategy through data, define success metrics and measure performance.
  • Build and improve dashboards, reports and self-serve analytics so insight reaches every product team.
  • Coach junior analysts and share best practice to raise the quality of analysis across the team.

Requirements

  • A strong analytical approach, able to break down unclear problems and turn data into useful action.
  • A solid understanding of statistics, including hypothesis testing and experimental design, applied to real product work.
  • Advanced SQL and strong Python skills (pandas, NumPy) for analysing large datasets.
  • A track record of leading A/B testing programmes and shaping product decisions through experiments.
  • Substantial experience analysing customer behaviour on digital products or e-commerce platforms, with a focus on measurable improvement.
  • Strong skills with visualisation tools such as Power BI, Tableau or Looker, with an focus on clear storytelling and impact for stakeholders.
  • Experience working closely with product teams and influencing senior stakeholders or leadership.

Conditions

Candidates who need adjustments at any stage can tell the Talent team, in whatever way suits them best, and the company holds Disability Confident Committed status and has signed the Race at Work Charter.

Benefits

  • Employee discount on company products.
  • Access to employee sample sales.
  • 25 days of paid holiday each year, plus an extra day to mark a special personal moment.
  • Discretionary bonus scheme.
  • Private medical care scheme.
  • A flexible benefits allowance that you can take as extra cash or spend on other benefits.
  • Personalised learning and support in the moment to help you do well in your role.

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

ASOS

  • Industry: E-commerce

Office in London, United Kingdom

Also hiring in United Kingdom

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 1 red flag

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Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Tableau
  • Looker
  • Power BI
Seniority
Senior
Type
Full-time
Industry
E-commerce
Specialty
Data Analyst
Region
United Kingdom
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Senior
Experience
6+ years
Tech stack
  • Python
  • SQL
  • Tableau
  • Looker
  • Power BI

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
E-commerce

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