Analytics

Company : Paytech Nexus Ltd

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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Analytics

Job Description - Analytics

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