Lead Data Analytics, DAMAC
Job Description
The Lead Data Analytics at DAMAC is responsible for driving advanced analytics initiatives within internal audit and risk functions. The position requires the development of data models which will help identify suspicious patterns through machine learning and natural language processing and business intelligence tools to improve governance and compliance and operational performance.
Job ID: 30418
Qualification: Bachelor’s Degree (Master’s preferred)
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Main Duties
- Execute full population data testing across financial, procurement, and operational business processes.
- Design analytics using trend analysis, anomaly detection, and risk identification techniques effectively.
- Develop machine learning models for fraud detection, vendor risk scoring, and prioritization.
- Apply NLP techniques to analyze contracts, reports, and regulatory documents for insights.
- Build dashboards using Power BI or Tableau providing real time audit visibility.
Essential Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering or a related field.
- Six and ten years of experience in data analytics and data science positions.
- Demonstrate advanced skills in Python and R programming together with machine learning model development.
- Demonstrate advanced SQL proficiency in Oracle and PostgreSQL and SQL Server database systems.
- Experience using Power BI or Tableau to create data visualizations and generate reports.
Preferred Qualifications
- Master’s degree in data science, analytics, or related quantitative discipline preferred.
- Possess experience in audit compliance and finance or risk management environments.
- Knowledge about anomaly detection and predictive modeling and statistical analysis techniques.
- Natural language processing works in business data systems and document processing systems.
- Demonstrates strong analytical thinking skills which enable him to generate practical insights for making business decisions.
