Mobility Data Analyst - YAY APP

About the Role

We are looking for a highly analytical and insights-driven Mobility Data Analyst to support our Yay Food (food delivery) and Yay Drive (ride-hailing) platforms. This role will focus on analyzing mobility, demand, and delivery/ride data to optimize operations, improve customer and driver experience, and support data-driven decision-making across both products.

Key Responsibilities

• Collect, clean, and analyze large datasets from Yay Food and Yay Drive platforms (orders, rides, GPS, driver-partner activity, customer usage).
• Monitor and report on key mobility metrics: delivery times, driver utilization, order-to-ride ratios, cancellations, wait times, and route efficiency.
• Build dashboards and visualization tools for real-time performance tracking.
• Identify patterns and provide insights on customer demand, peak hours, and geographic mobility trends.
• Support pricing, incentives, and promotions strategy with data-backed recommendations.
• Work closely with Operations, Product, and Marketing teams to optimize supply-demand balance.
• Develop predictive models to forecast demand, improve fleet allocation, and reduce inefficiencies.
• Track KPIs related to cost optimization, customer satisfaction, and driver engagement.
• Conduct ad-hoc analysis to support new feature launches, city expansions, and business strategies.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field.
• Proven experience as a Data Analyst, ideally in food delivery, ride-hailing, logistics, or mobility tech.
• Strong skills in SQL, Excel, and data analysis tools (Python, R).
• Proficiency in visualization platforms such as Tableau, Power BI, or Looker.
• Solid understanding of mobility and logistics metrics (ETA, route optimization, utilization rates).
• Strong communication skills to translate complex data into actionable insights.
• Ability to thrive in a fast-paced, high-growth environment.

Preferred Skills

• Experience with geospatial data and mapping tools (ArcGIS, QGIS, or equivalent).
• Knowledge of predictive analytics and machine learning techniques.
• Familiarity with real-time analytics and event-streaming data.
• Background in working with delivery or ride-hailing platforms.

What We Offer

• Opportunity to shape the future of mobility and food delivery.
• Work on high-impact products with a dynamic and innovative team.
• Professional development and career growth opportunities.
• Competitive salary, benefits, and performance incentives.

Job Type: Full-time

Pay: AED5,000.00 - AED8,000.00 per month