Responsibilities

• Lead analysis across CRM and lifecycle marketing, from hypothesis and experiment design through to in-flight monitoring and post-campaign evaluation.
• Design and analyse robust experiments, including A/B and multivariate tests, holdout and control groups, to measure the incremental impact of CRM and lifecycle activity.
• Apply statistical techniques including significance testing, confidence intervals and regression to distinguish genuine effects from noise and provide reliable recommendations.
• Translate complex customer and campaign datasets into actionable insight that informs segmentation, targeting, contact strategy and customer journey optimisation.
• Build effective Tableau dashboards and measurement frameworks, partnering with CRM, marketing, data engineering and data science teams to identify opportunities and embed a strong test-and-learn culture.

Requirements

• Senior analytics experience: Proven experience in a senior data or marketing analytics role, with strong experience analysing CRM, lifecycle, retention or customer marketing activity.
• Experimentation and statistics: Demonstrable experience designing and analysing A/B or multivariate tests, control/holdout groups and applying statistical methods such as significance testing, confidence intervals and regression.
• Technical analytical capability: Strong hands-on SQL skills together with proficiency in either Python or R for data manipulation and statistical analysis.
• Data visualisation: Demonstrable experience creating dashboards and communicating analytical results using Tableau.
• Insight and communication: Strong experience translating complex customer and campaign data into clear, actionable recommendations for CRM, marketing and non-technical stakeholders, including an understanding of customer segmentation and lifecycle/customer journey analytics.

Preferred

• Experience measuring channel contribution or attribution across owned and paid media.
• Familiarity with CRM or marketing automation platforms such as Braze, Salesforce Marketing Cloud or Adobe.
• Exposure to uplift modelling, propensity modelling or econometrics.
• Experience working within agile, cross-functional marketing or growth teams.