Strategic Analytics Lead: AI, Experimentation & Growth

MS; United Kingdom; Hybrid; GBP 70,000 - 120,000; Part time

Benefits offered by this job

20% colleague discount

Pension scheme

Life Assurance

Training programmes

Wellbeing support

Volunteer day

Job summary

Marks & Spencer is seeking a senior analytics leader to champion experimentation and evidence-based decision making across the business. You will lead complex analytical initiatives that deliver measurable commercial impact and identify opportunities to leverage AI, automation, and advanced analytics.

You will influence business strategy through insight, expertise and thought leadership, collaborating with data engineers, product teams and stakeholders at all levels.

Qualifications

• Proven experience delivering high-impact analytical initiatives that drive outcomes.
• Strong background collaborating with data engineers, product teams and stakeholders.
• Experience designing pilots, trials and interventions with robust measurement methodologies.
• Demonstrated application of AI, automation or predictive analytics to business problems.
• Strong stakeholder management, storytelling and influencing skills.

Responsibilities

• Champion a culture of experimentation, evidence-based decision making and continuous improvement.
• Lead complex analytical initiatives that deliver measurable business impact.
• Identify opportunities to leverage AI, automation and advanced analytics.
• Influence business strategy through insight, expertise and thought leadership.

Skills

Analytical leadership

Stakeholder mgmt

AI & automation

Experiment design

Storytelling

Job description

Marks & Spencer is seeking a senior analytics leader to champion experimentation and evidence-based decision making across the business. You will lead complex analytical initiatives that deliver measurable commercial impact and identify opportunities to leverage AI, automation, and advanced analytics.

You will influence business strategy through insight, expertise and thought leadership, collaborating with data engineers, product teams and stakeholders at all levels.