Data Analytics Manager - SBX - UAE

Role Profile: The Customer Analytics Manager is the central owner of data, measurement, and advanced analytics across the loyalty ecosystem. This role is focused on generating high-quality insights, building scalable data models, and enabling data-driven decision-making, rather than owning campaign execution or program design. Key Performance Areas include but are not limited to: Data & Analytics Foundation Own the integrity, structure, and governance of customer and loyalty datasets across all markets Design and manage scalable data models for customer behavior, transactions, and engagement Partner with data engineering teams to improve data pipelines, tracking, and data availability Measurement & KPI Frameworks Define and standardize loyalty and customer KPIs across acquisition, engagement, retention, and value Build automated dashboards and reporting frameworks to track performance across markets Ensure consistency and accuracy in all business reporting and executive insights Advanced Analytics & Modeling Develop predictive models (churn, LTV, propensity, uplift) to support strategic decision-making Conduct deep-dive analyses to identify structural drivers of performance (not just campaign results) Apply statistical techniques and machine learning to solve complex business problems Insight Generation (Strategic, Not Executional) Translate data into clear insights on customer behavior, program performance, and market trends Identify macro opportunities (e.g., frequency growth, retention levers, value perception gaps) Provide decision-support frameworks rather than campaign-level recommendations Experimentation & Incrementality Design and govern experimentation frameworks (A/B testing, control groups, incrementality measurement) Validate the true impact of loyalty initiatives, promotions, and product changes Data-Driven Culture Enablement Act as the analytics partner to loyalty, CRM, digital, and marketing teams Upskill stakeholders on data interpretation and KPI usage Drive adoption of data-led decision-making across the organization Knowledge: Holds a BA/BS in Business, Statistics or Mathematics (preferred), or Computer Science, Marketing or a related field. Expert knowledge of Google Analytics (Universal) Google accreditations preferred Expert knowledge in common analytics tools (Microsoft Excel, including Pivot Tables, Macros and VLOOKUPs,) and visualization tools (QlikView/Tableau or equivalents) Expert knowledge of lookalike modelling and datamining techniques Deep knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) Expert knowledge of, and experience with a customer data platform (e.g. Exponea), Salesforce Marketing Cloud, or similar Familiarity with CRM systems Good understanding of the MarTech landscape and how it will evolve in the near future Experience: Over 5 years of experience focused on customer analytics, ideally in a B2C retail business Experience of working in an omnichannel retail business is a valuable plus Track record of consistently delivering and optimizing routine business data, reporting and analysis (including management KPIs) Track record of completing ad-hoc/ bespoke analysis in support of business objectives Proven experience developing and implementing new processes and techniques for customer analytics is essential Experience with statistical computer languages (R, Python, etc.) preferred Experience in querying and manipulating datasets using SQL (advanced knowledge of SSQL required) or Python Solid experience and knowledge of technical and non-technical documentation best practices (Change Requests, Business Requirements, etc.) to support effective implementation Experience of creating reports and presentations to explore findings and make business recommendations Experience of managing primary research, via third-party agencies Experience working in a fast-paced and demanding environment, effectively interacting with many cross-functional teams