Head of Data and Analytics
Cairo Data & Analytics / Full-time / Hybrid
Role Overview: Bosta is seeking an experienced Head of Data and Analytics to drive data-driven strategies and initiatives across the organization. This leadership role will oversee three critical areas:
Data and Analytics,
Planning and Performance, and
Fraud Detection, ensuring alignment with company objectives and operational excellence. The ideal candidate is a strategic thinker with a strong technical background, capable of building high-performing teams and fostering a culture of innovation and data-driven decision-making.
Key Responsibilities:
1. Manage the Data and Analytics Team · Lead the
Data Engineering and
Data Analysis functions to deliver robust, scalable, and efficient data solutions. · Oversee the development of the
data warehousing layer to support and streamline querying processes for analysts and other stakeholders. · Ensure the team delivers all necessary business insights through comprehensive
dashboards and ad hoc analyses to support decision-making across the organization. · Implement data governance practices to ensure data quality, accessibility, and compliance with industry standards.
2. Manage the Planning and Performance Team · Translate high-level targets from the
Finance Team into detailed, actionable plans for all business functions. · Oversee the development and tracking of KPIs, ensuring alignment between operational goals and corporate objectives. · Lead
Business Analysts across verticals to provide data-driven support for achieving functional and organizational targets.
3. Build and Lead the Fraud Detection Team · Establish a dedicated
Fraud Detection Team to proactively identify and mitigate risks across business operations. · Develop and implement tools, models, and processes to detect fraudulent activities in real time. · Collaborate with cross-functional teams to investigate incidents, implement controls, and enhance 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 in managing diverse teams, including data engineering, analytics, and business planning functions. . Experience in building or managing fraud detection processes and teams is a strong advantage. . Strong 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. . Deep 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 and manage multiple priorities effectively.
