Data Analyst and Predictive Analytics Specialist

Job Purpose

The Data Analyst and Predictive Analytics Specialist is responsible for collecting, analysing, interpreting, and modelling business data to generate actionable insights and support data-driven decision-making.

The role combines data analytics, statistical analysis, predictive modelling, forecasting, and business intelligence to identify trends and patterns, predict future outcomes, assess business risks and opportunities, and support strategic and operational decisions.

The position will work closely with business and technical teams to transform complex datasets into meaningful insights, analytical models, forecasts, dashboards, and recommendations.

Duties and Responsibilities:

1. Collect, consolidate, clean, validate, and prepare data from multiple internal and external sources for analysis and modelling.
2. Build and maintain analytical datasets using SQL, supporting ETL, data preparation, and data integration processes.
3. Analyze customer, transaction, financial, sales, operational, and business data to identify trends, patterns, correlations, anomalies, and performance drivers.
4. Apply statistical methods, including regression, classification, hypothesis testing, correlation analysis, and A/B testing, to support business analysis.
5. Develop, test, and implement predictive models using statistical and machine learning techniques to support business decision-making.
6. Conduct customer segmentation, behavioral analysis, churn prediction, anomaly detection, and fraud-related analytics.
7. Develop forecasts for key business indicators, including transaction volume, revenue, customer activity, retention, merchant performance, operational performance, and risk indicators.
8. Apply time-series forecasting, trend and seasonality analysis, and scenario analysis to support business planning and management decisions.
9. Develop and maintain Power BI dashboards, KPI reports, and analytical reports to monitor business and operational performance.
10. Automate recurring analysis and reporting processes while continuously improving reporting efficiency, accuracy, and data accessibility.
11. Conduct root-cause and performance analysis and translate analytical and predictive findings into clear, practical business recommendations.
12. Evaluate, validate, monitor, and continuously improve predictive models, while maintaining appropriate documentation of methodologies, assumptions, datasets, and results.
13. Ensure data quality, security, confidentiality, and governance by following company policies, information security requirements, and applicable regulatory standards.

Qualifications:

• Bachelor’s degree in computer science, Software Engineering, Data Science, Statistics, Mathematics, Business Analytics, Economics, or a related field.
• 2–5 years of relevant experience in Data Analytics, Business Intelligence, Predictive Analytics, Statistics, Data Science, or a related field.
• Experience working with large datasets and multiple data sources.
• Experience developing analytical models and business reports.
• Experience within FinTech, Banking, Payments, Financial Services, or Technology is highly desirable.
• Professional certifications in Data Analytics, Data Science, Machine Learning, Statistics, or Business Intelligence are an advantage.

Working days and hours:

From Sunday-Thursday/09:00 AM – 04:30 PM.

How to apply:

if you’re interested send your cv to:recruitment@tadawul.ly containing job title in the subject.

Location: Tripoli_/_طرابلس | Type: Full_Time_-_دوام_كامل | Category: Data_Analysis | Tags: #Jobs_in_Libya