Our client is currently recruiting for Customer Analytics within the Financial Industry.

As a Customer Analytics Specialist, you will play a pivotal role in leveraging data insights to drive strategic decision-making within the financial industry. This position requires strong communication skills, a deep understanding of the financial sector, and the ability to collaborate effectively with cross-functional teams. Additionally, you will be responsible for documenting the development process, staying updated with industry trends, and ensuring cultural fit by exhibiting qualities such as ownership, passion for analytics, problem-solving mindset, and meticulous attention to detail.

Responsibilities:

• Analyze customer data using statistical techniques and machine learning algorithms to identify trends, patterns, and opportunities.      
• Collaborate with business stakeholders to understand their requirements and translate them into actionable analytical tasks.
• Develop and maintain analytical models and tools to support decision-making processes, such as customer segmentation, lifetime value analysis, and predictive modeling.   
• Present findings and insights to stakeholders clearly and concisely, using data
• visualization techniques and storytelling techniques.      
• Stay current with industry trends and best practices in customer analytics, continuously improving analytical methodologies and processes.      
• Work closely with IT and data engineering teams to ensure data quality, integrity, and availability for analysis.

Required:

• Minimum of 3 years of experience in a similar role, preferably within the financial services industry.
• Advanced knowledge of statistical analysis and machine learning techniques.
• Highly proficient in SAS programming language (SAS 9.4).
• Proficiency in other Data Science programming languages such as Python, R.
• Experience with Dataiku and understanding of MLOps on Azure platform.
• Experience in the financial industry is advantageous.
• Strong communication skills with the ability to present findings to senior stakeholders in a non-technical manner.