Analytics Manager - Touchpoints (Meedaf)

Business Area

Key Responsibilities

• Translate Touchpoints programme, customer, and partner data into actionable insights for member engagement, retention, and commercial decision-making.
• Develop segmentation, personalisation, and behavioural insight outputs for targeted campaigns and proposition refinement.
• Develop and commercialise data and insight propositions, including rate-card analytics, bespoke partner insights, and benefits validation outputs.
• Assess partner requirements, data availability, and commercial value to shape controlled monetisation opportunities.
• Design and maintain reporting tools, dashboards, and performance modules covering programme performance, partner outcomes, and business indicators.
• Provide interpretation and commercial narrative alongside reporting outputs so stakeholders understand performance movements, risks, and opportunities.
• Support business-case development for new products and services by providing data points for modelling.
• Manage analytics governance, data quality checks, and reporting standards.
• Work with control functions and data owners on data usage, reporting logic, and privacy considerations.
• Support fraud teams with data analysis and insight for fraud-related issues.
• Use analytics tools, emerging technologies, and artificial intelligence capabilities to improve insight generation and reporting speed.
• Automate recurring analysis, strengthen modelling capability, and improve the scalability of the Touchpoints insight function.

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.
• Experience in data analytics, business intelligence, data monetisation, segmentation and personalisation, commercial storytelling, dashboard development, data governance, and artificial intelligence awareness.

Core Skills

• Data Analytics
• Business Intelligence
• Data Monetisation
• Segmentation and Personalisation
• Commercial Storytelling
• Dashboard Development
• Data Governance
• Artificial Intelligence Awareness

What We Offer

• Comprehensive benefits include medical insurance, group life and personal accident insurance, paid leave, leave airfare, preferential rates on loans and finance facilities, staff discounts, and selected education assistance.
• Flexible and remote working options may be available subject to eligibility and job requirements.
• Learning and development are supported through instructor-led courses, e-learning, on-the-job training, and professional development programmes.