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Job Description - Analytics

About the job Analytics

Job Title: Analytics

Term: 12 months

Location: Jeddah, KSA

Division: Banking & Technology

Relevant experience: 10 years+ in a similar role, ideally with financial services

Mandatory requirements: Python, R, SAS programming language (SAS 9.4)

PURPOSE OF JOB

Role of data scientist

TASKS

Core Responsibilities and Accountabilities

1. Non-technical
  • Strong communication skills and ability to present findings to client stakeholders
  • Experience in Financial Services, Banking & card payments Industry is a plus
  • 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)
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