Customer Insights Analyst (Banking)

1.    Determine patterns and analyse customer behaviour to address business problems and generate actionable insights

2.    Assess the performance of different marketing activities (e.g. campaigns, product launch...etc) and their impact on the customers

3.    Gather, validate, and explore data in order to find hidden insights and patterns

4.    Analyse information from multiple data sources and business stakeholders to identify actionable insights

5.    Identify opportunities to drive customer value, through different customer behaviour analysis techniques

6.    Review customer data for trends, patterns, and causal analysis to assist in understanding customer behaviour

7.    Execute advanced analytics techniques to translate large and complex datasets into concise easy-to-use insights

8.    Collaborate with Business and Data Engineering teams to solve business problems and identify opportunities for building ready for use data products

9.    Assist in the communication of results, insights and data-driven recommendations to stakeholders and executive leadership

Policies, Processes and Procedures

10.    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

11.    Follow the day-to-day operations related to own job in the department to ensure business continuity

Requirements

• Bachelor’s Degree with strong academic performance in a quantitative field (Computer Science, Statistics / Mathematics, Actuarial Science, Operations Research, Industrial Engineering…etc.)
• Master's Degree in a quantitative or business field is a plus
• Analyst : Experience of at least 2 - 4 years
• Experience in advanced analytics or customer insights related jobs is a plus
• Experience in banking industry would be a plus
• Excellent verbal, written communication and presentation skills
• Excellent Microsoft Excel skills
• Highly motivated team player with strong presentation skills
• Good knowledge of SQL / R / Python programming
• Ability to present complex information in simple terms with clear recommendations
• Strong quantitative analytical capabilities combined with experience in dealing with large and / or complex data 
• Outstanding data interpretation skills and attention to detail
• Ability to work in a fast-paced environment, adapt easily to changing situations and demonstrates flexibility in juggling priorities
• Problem solver with a can-do attitude
• Knowledge of visualization tools (Tableau, etc...) is a plus