Analytics

PayTech Group

TASKS

Core Responsibilities and Accountabilities

1. Non-technical

• Strong communication skills and ability to present findings to client stakeholders
• Collaborate with cross-functional teams to understand business requirements
• Document all steps in the development process

2. Technical

• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient in other Data Science programming languages (e.g. Python, R)
• Develop, test, implement, and maintain predictive models
• Segmentation, customer lifetime value
• Identify opportunities to innovatively use data/ extract insights from complex data sets

3. Cultural Fit

• Owning the outcome (ownership)
• Being driven/passionate in analytics
• Problem solving mindset, challenging the status quo
• Self-organizing, independent and takes ownership of each task
• Meticulous to detail
• Thrive under pressure

KPIs:

• Time to deployment & value identified/realized/recommended from different use cases.
• Model accuracy (e.g., RMSE, MAE for regression tasks)
• Number of business problems addressed
• Responsiveness to business questions/problems/requests
• Number of departments/business users supported/adopted the solution Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.
• Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.
• Data Security Compliance: Compliance with data security protocols and regulations

Knowledge and Experience

• 10years + in a similar role, ideally with financial services

SKILLS

• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient in other Data Science programming languages (e.g. Python, R)
• Strong communication skills and ability to present findings to senior stakeholders (non-technical)