Head of Data and Analytics – Cairo

Position: Head of Data and Analytics

Location: Cairo | Data & Analytics | Full-Time | Hybrid

Role Overview

Bosta is looking for a dynamic and experienced Head of Data and Analytics to lead data-driven strategies across the organization. This leadership role will oversee three key areas: Data and Analytics, Planning and Performance, and Fraud Detection. The ideal candidate will possess a strategic mindset, strong technical expertise, and the ability to drive innovation and foster a data-driven decision-making culture within the organization.

Key Responsibilities

1. Lead the Data and Analytics Team
   • Oversee the Data Engineering and Data Analysis functions to deliver scalable, efficient data solutions.
   • Manage the development of the data warehousing layer to optimize querying processes for analysts and stakeholders.
   • Ensure the team provides essential business insights through comprehensive dashboards and ad-hoc analyses to support decision-making.
   • Implement and enforce data governance practices to ensure data quality, accessibility, and compliance with industry standards.
2. Lead the Planning and Performance Team
   • Translate high-level targets from the Finance Team into actionable, detailed plans for all business functions.
   • Oversee the development and tracking of KPIs, ensuring alignment between operational and corporate objectives.
   • Guide Business Analysts to provide data-driven support in achieving functional and organizational goals.
3. Build and Lead the Fraud Detection Team
   • Establish and manage a dedicated Fraud Detection Team to identify and mitigate risks across business operations.
   • Develop and implement real-time tools, models, and processes to detect fraudulent activities.
   • Collaborate with cross-functional teams to investigate incidents, implement controls, and strengthen organizational resilience against fraud.

Qualifications

Education:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. A Master’s degree (MBA, Data Analytics, or equivalent) is highly preferred.

Experience:

• 8+ years of experience in data and analytics, with at least 3 years in a senior leadership role.
• Proven experience managing diverse teams, including data engineering, analytics, and business planning.
• Experience in building or managing fraud detection processes and teams is highly advantageous.
• A background in logistics, supply chain, or similar industries is preferred.

Skills:

• Exceptional leadership and communication skills with a proven ability to manage cross-functional teams.
• Strong understanding of data architecture, data warehousing, ETL processes, and analytics tools (e.g., SQL, Python, Tableau, Power BI).
• Expertise in financial planning, target setting, and performance tracking.
• Knowledge of fraud detection systems and strategies, including predictive modeling and anomaly detection.
• Ability to thrive in a fast-paced, dynamic environment while managing multiple priorities effectively.