Lead Data Analyst (Decision Science & Experimentation)

What you’ll do

Your key accountabilities will include

• Lead analytical work on high-value opportunities, collaborating with product teams, business stakeholders and data scientists to deliver evidence that supports better decisions.

• Translate complex or ambiguous business questions into clear analytical objectives, success measures and decision-focused analysis plans.

• Conduct deep exploratory and diagnostic analysis to understand performance, identify drivers and uncover opportunities to create measurable business value.

• Design and apply appropriate approaches, including statistical modelling, experimentation and quasi-experimental methods, to test hypotheses, evaluate initiatives and quantify their impact.

• Coach and develop analysts while helping shape analytical standards, best practice and capability across M&S.

Who you are

Your skills and experience will include

• Commercially curious, with strong analytical problem-solving skills and the ability to focus analysis on the questions and decisions that create business value.

• Strong statistical expertise, with experience selecting, applying and interpreting appropriate methods to draw robust conclusions from complex, imperfect real-world data.

• Sound analytical judgement, including the ability to assess the strength of evidence, recognise uncertainty and potential bias, and communicate appropriate limitations.

• A clear and persuasive communicator who can translate complex analysis into practical recommendations for senior and non-technical stakeholders.

• Experience using at least one data-focused programming or analytical language, such as Python, R, PySpark or similar.