Head of Growth & Insights
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.
