Analytics Manager

Must have

• 6–8+ years in analytics, including 2+ years leading analysts
• Experience in a consumer marketplace or two-sided platform (travel, rideshare, delivery, e-commerce) at scale-up stage
• Has owned a KPI framework, planning models and performance reviews used at executive level
• Has built or matured an analytics function beyond reporting
• Advanced SQL (BigQuery preferred) and BI tools (Metabase or similar)
• Strong in forecasting, scenario modeling, variance analysis and experimentation
• Strong written and spoken English, with board-ready communication

Personal qualities

• Business-first: starts from the decision, not the data
• Has the credibility to challenge senior leaders using evidence
• Holds a high bar for accuracy and coaches rather than redoes
• Stays structured and calm under pressure

Nice to have

• Arabic
• GCC or MENA market experience
• Experience scoping data science use cases

KPI framework

• Design and maintain a connected KPI tree: North Star, then primary and secondary KPIs for each function.
• Give every KPI one owner, one certified definition and a clear link to the KPI above it.

Planning and simulation

• Own the analytical side of the annual and quarterly planning cycle.
• Build driver-based models that simulate targets and check that function targets add up to company targets.
• Run scenarios for leadership and Finance, and defend the assumptions.

Performance reporting

• Own the monthly and quarterly performance reports.
• Explain every material miss or beat with its real drivers and a recommended action.

Data-backed priorities

• Set the top data-backed focus areas for each function every quarter.
• Track which recommendations are adopted and measure their impact on KPIs.
• Design experiments and post-launch measurement for key initiatives.

Single source of truth

• Enforce certified metrics, definition control and dashboard hygiene across the company.
• Ensure leadership forums use only certified numbers.

Team and operating system

• Hire, coach and grow the analyst team; review their work for logic and quality.
• Write role scorecards and SOPs for every analyst, and assign each a business function to partner with.
• Run demand intake and prioritization so the team spends its time on high-value work, not ad-hoc pulls.