product analyst for e-commerce

HireHi; Greater London; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Employee discount

Private medical care

Flexible benefits

Job summary

ASOS is seeking a senior analytics professional to lead data-driven initiatives across customer funnels, experiments, and product strategy. You will translate complex data into actionable insights for leadership and partner with Product Managers to set success metrics.

Key responsibilities include owning A/B testing programs, building dashboards, and mentoring junior analysts to raise analytical quality across the team. This role emphasizes statistical rigour and measurable business impact.

Qualifications

• Structure ambiguous problems and translate data into actionable insight.
• Apply statistics, hypothesis testing, and experimental design in product environments.
• Advanced SQL skills and strong experience with Python, including pandas and NumPy, for large-scale data analysis.
• Proven experience leading A/B testing programmes and influencing product decisions through experimentation.
• Significant experience analysing customer behaviour within digital products or e-commerce platforms and driving measurable improvements.
• Experience with data visualisation tools and storytelling to influence stakeholders.
• Experience working closely with Product and influencing senior stakeholders or leadership teams.

Responsibilities

• Lead deep-dive analyses across customer funnels to identify conversion opportunities.
• Own the design, execution, and evaluation of A/B tests and experimentation frameworks.
• Identify growth opportunities and influence prioritisation through data-led recommendations.
• Translate complex data into clear narratives for technical and non-technical audiences, including leadership
• Partner with Product Managers and senior stakeholders to define product strategy through data and success metrics.
• Build and evolve dashboards, reporting, and self-serve analytics across product teams.
• Mentor and support junior analysts to raise analytical quality across the team.

Skills

Data interpretation

Statistics & experiments

SQL

Python (pandas, NumPy)

A/B testing leadership

User behaviour analysis

Data storytelling

Tools

Power BI

Tableau

Looker

Job description

Описание:

ASOS is an online retailer for fashion lovers around the world, operating a platform used by millions.

Задачи:

• Lead deep-dive analysis across customer funnels and journeys to identify opportunities to improve conversion, engagement, and retention
• Own the design, execution, and evaluation of A/B tests and experimentation frameworks, ensuring statistical rigour and clear business impact
• Identify growth opportunities and influence prioritisation through data-led recommendations and designed experiments
• Translate complex data into clear narratives for technical and non-technical audiences, including leadership
• Partner with Product Managers and senior stakeholders to define product strategy through data, set success metrics, and evaluate performance
• Build and evolve dashboards, reporting, and self-serve analytics capabilities across product teams
• Mentor and support junior analysts, contributing to best practice and analytical quality across the team

Требования:

• Structure ambiguous problems and translate data into actionable insight
• Apply statistics, hypothesis testing, and experimental design in product environments
• Advanced SQL skills and strong experience with Python, including pandas and NumPy, for large-scale data analysis
• Proven experience leading A/B testing programmes and influencing product decisions through experimentation
• Significant experience analysing customer behaviour within digital products or e-commerce platforms and driving measurable improvements
• Experience with data visualisation tools such as Power BI, Tableau, or Looker, with an emphasis on storytelling and stakeholder impact
• Experience working closely with Product and influencing senior stakeholders or leadership teams

Условия:

• Employee discount
• Employee sample sales 25
• Days of paid annual leave plus an extra celebration day
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance, which can be taken as extra cash or used towards other benefits
• Personalised learning and in-the-moment development experiences