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Analytics
Job Location:
Job Location:
Jeddah - Saudi Arabia
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 May 2026 (30+ days ago)
Posted:
Application Deadline:
6 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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)
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
