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Determine patterns and analyse customer behaviour to address business problems and generate actionable insights
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Assess the performance of different marketing activities (e.g. campaigns, product launch...etc) and their impact on the customers
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Gather, validate, and explore data in order to find hidden insights and patterns
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Analyse information from multiple data sources and business stakeholders to identify actionable insights
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Identify opportunities to drive customer value, through different customer behaviour analysis techniques
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Review customer data for trends, patterns, and causal analysis to assist in understanding customer behaviour
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Execute advanced analytics techniques to translate large and complex datasets into concise easy-to-use insights
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Collaborate with Business and Data Engineering teams to solve business problems and identify opportunities for building ready for use data products
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Assist in the communication of results, insights and data-driven recommendations to stakeholders and executive leadership
Policies, Processes and Procedures
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Follow all relevant department policies, processes, standard operating procedures and instructions so that operations are carried out in a controlled and consistent manner
Day-to-day Operations
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Follow the day-to-day operations related to own job in the department to ensure business continuity
Requirements
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Bachelor's Degree with strong academic performance in a quantitative field (Computer Science, Statistics/Mathematics, Actuarial Science, Operations Research, Industrial Engineering...etc.)
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Master's Degree in a quantitative or business field is a plus
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Analyst: Experience of at least 2 - 4 years
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Experience in advanced analytics or customer insights related jobs is a plus
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Experience in banking industry would be a plus
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Excellent verbal, written communication and presentation skills
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Excellent Microsoft Excel skills
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Highly motivated team player with strong presentation skills
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Good knowledge of SQL/R/Python programming
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Ability to present complex information in simple terms with clear recommendations
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Strong quantitative analytical capabilities combined with experience in dealing with large and/or complex data
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Outstanding data interpretation skills and attention to detail
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Ability to work in a fast-paced environment, adapt easily to changing situations and demonstrates flexibility in juggling priorities
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Problem solver with a can-do attitude
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Knowledge of visualization tools (Tableau, etc...) is a plus