Analytics Manager - Touchpoints (Meedaf)

About the business area

Key responsibilities

• Translate customer, partner, and programme data into actionable insight for engagement, retention, and commercial decisions.
• Develop segmentation, personalisation, and behavioural insight outputs for campaigns and proposition refinement.
• Develop and commercialise analytics propositions, including partner insights and benefits validation outputs.
• Assess partner requirements, data availability, and commercial value for monetisation opportunities.
• Design and maintain dashboards, reporting tools, and performance modules.
• Provide commercial narrative that explains performance movements, risks, and opportunities.
• Support business case modelling for new programme products and services.
• Manage analytics governance, data quality checks, and reporting standards.
• Coordinate with control functions and data owners on data usage, reporting logic, and privacy.
• Support fraud teams with data analysis and insight.
• Use analytics tools, emerging technologies, and artificial intelligence to improve reporting and insight generation.
• Automate recurring analysis and improve modelling capability and scalability.

Experience and qualifications

• At least 6 years of experience in data analytics, business intelligence, data science, or commercial insight.
• Experience with data monetisation or partner insight delivery in loyalty, financial services, retail, digital, or related sectors.
• Bachelor’s degree in Statistics, Economics, Computer Science, Engineering, Business Analytics, Finance, or a related discipline.
• Knowledge of data analytics, business intelligence, data monetisation, segmentation, personalisation, commercial storytelling, dashboard development, data governance, and artificial intelligence awareness.

Benefits and development

• Benefits include medical insurance, group life and personal accident insurance, paid leave, leave airfare, preferential finance rates, staff discounts, and education assistance for eligible job levels.
• Flexible and remote working options may be available subject to eligibility and job requirements.
• Learning opportunities include instructor-led courses, e-learning, on-the-job training, and professional development programmes.