Senior Data Analyst
🏢 Company: [CRIF Egypt (Dun & Bradstreet)]
📍 Location:On-site
💰 Salary: Competitive
⏳ Type: Full Time
🎓 Experience: 1 to 2 years
📂 Category: Onsite Job
Job Description:
📊 **Senior Data Analyst**
**CRIF Egypt (Dun & Bradstreet)** is hiring a **Senior Data Analyst** in Cairo.
📍 **Location:** Cairo, Egypt
💼 **Type:** Full-Time
🏢 **Work Model:** On-site
💼 **Level:** Senior
### 🔎 Key Responsibilities
🔹 Import, structure, validate, and perform quality checks on data from multiple sources
🔹 Conduct **exploratory analysis, statistical testing, segmentation, and variable assessment**
🔹 Develop, validate, and monitor statistical and **Machine Learning models**
🔹 Assess model performance using **GINI, KS, AUC, IV, PSI, and CSI**
🔹 Translate analytical findings into practical business insights and recommendations
🔹 Automate data preparation, analysis, monitoring, and reporting activities
🔹 Prepare technical documentation, model reports, implementation specifications, and presentations
🔹 Present analytical results to technical and non-technical stakeholders
🔹 Support model implementation, testing, knowledge transfer, and post-deployment monitoring
🔹 Independently manage assigned project activities and deliver accurate outputs within deadlines
Job Requirements:
✔️ Strong **analytical, statistical, and problem-solving** skills
✔️ Knowledge of regression, segmentation, decision trees, random forests, and predictive techniques
✔️ Proficiency in at least one: **Python, SAS, R, or PySpark**
✔️ Good working knowledge of **SQL, Excel, PowerPoint, and Word**
✔️ Ability to interpret model results and communicate insights clearly
✔️ Strong communication, organization, time-management, and multitasking skills
✔️ Ability to work independently and meet deadlines
✔️ Bachelor's or Master's degree in **Statistics, Mathematics, Economics, Operations Research, Engineering, Data Science, Computer Science, or related quantitative field**
✔️ Hands-on experience in **Data Analytics, Predictive Modeling, or Data Science**
➕ Experience in **Banking, Credit Risk, Collections, Fraud, Telecom, or Insurance** is preferred
✔️ Fluency in **English and Arabic**
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