Lead Data Analyst: Experimentation & Decision Science

Lead Data Analyst: Experimentation & Decision Science

Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
Marks and Spencer

At a Glance

  • Tasks: Lead data analysis to support strategic decisions and solve complex business problems.
  • Company: Marks & Spencer, a renowned retail brand with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team and enhance your career in a supportive culture.
  • Why this job: Make a real impact by driving data-driven decisions in a leading retail environment.
  • Qualifications: Experience in data analysis, statistical modelling, and strong communication skills.

The predicted salary is between 54000 - 66000 Β£ per year.

Marks & Spencer is seeking an experienced Lead Data Analyst to partner with business and product teams across the organisation.

You will translate complex questions into robust analytical approaches, apply modelling and experimentation, and generate evidence to support strategic decisions.

You will combine statistical expertise with commercial curiosity, solve ambiguous problems, and present findings clearly to senior stakeholders.

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Lead Data Analyst: Experimentation & Decision Science employer: Marks and Spencer

Marks and Spencer is an exceptional employer that fosters a culture of innovation and collaboration, particularly within the Corporate HR technology team. Employees benefit from a supportive environment that prioritises professional growth and development, alongside competitive remuneration and benefits. Working in a dynamic location, you will have the opportunity to lead impactful projects that enhance the colleague experience throughout their journey with the company.

Marks and Spencer

Contact Details:

Marks and Spencer Recruitment Team

We think you need these skills to ace Lead Data Analyst: Experimentation & Decision Science

Statistical Expertise
Analytical Approaches
Modelling
Experimentation
Evidence Generation
Commercial Curiosity
Problem-Solving Skills