Lead Product Analytics

As the Lead Product Analytics, you will lead the Product Analytics team across multiple domains within the EA ecosystem, collaborating with cross-functional teams globally. You will develop strategies to leverage data analysis and visualization as a strategic competitive advantage for Careem. Additionally, you'll be responsible for growing and coaching analysts to effectively communicate data insights, ensuring their narratives are actionable for the organization.

Responsibilities

• Collaborate and influence leadership to allow the Product Analytics team’s work to impact the organization’s strategy.
• Partner with senior business leaders to manage project intake, prioritize, and manage staffing against key initiatives.
• Execute Product strategy and planning through actionable data insights and concepts.
• Define and maintain critical business metrics using SQL queries.
• Collaborate with the data engineering team to build and maintain ETLs and pipelines for accurate business performance analysis.
• Develop dashboards and visualizations to communicate results to leadership and provide technical mentorship to the team.
• Monitor data quality, diagnose issues, and create solutions for data problems.
• Answer complex business questions through ad-hoc SQL queries to support decision-making.

Requirements

• Advanced degree in a quantitative discipline (Engineering, Computer Science, Economics, Data Science, Mathematics).
• 10+ years of experience in analytics roles, preferably in tech.
• 5+ years of experience directly managing analytical teams.
• Strong command of SQL, Python, and R, with experience in large datasets.
• Ability to work in a fast-paced, cross-functional environment with changing priorities.
• Experience in building impactful dashboards and visualizations (using Tableau, Power BI, etc.).
• Strong project management skills and ability to drive projects end-to-end.
• Excellent communication and stakeholder management skills.
• Team-oriented with a passion for team success and ownership.
• Proven experience in managing and growing an analytics team.
• Track record of delivering impactful data-driven projects and shipping new products.
• Strong leadership, communication skills, and critical thinking abilities.