Data Analyst - Last Mile Performance📣 Job Ad

About the Role

Ninja is seeking a detail-oriented and analytical Data Analyst to join our team in Riyadh, Saudi Arabia. This role is crucial for supporting our Last Mile Operations through data-driven insights, comprehensive performance reporting, and in-depth workforce analytics. The ideal candidate will be instrumental in building operational dashboards, analyzing key delivery performance metrics, supporting capacity planning initiatives, and ensuring the highest data quality across all reporting systems. This position plays a key part in enabling operational excellence and fostering informed decision-making across various cross-functional teams.

Key Responsibilities

• Design, develop, and maintain daily, weekly, and monthly Key Performance Indicator (KPI) dashboards to monitor operational performance.
• Automate recurring reports to enhance reporting efficiency and timeliness.
• Ensure the accuracy, consistency, and timely delivery of data to all stakeholders.
• Monitor operational performance metrics and the health of reporting systems.
• Conduct deep-dive analysis on key metrics including Service Level Agreements (SLA), assignment time, fulfillment rate, understand the trip (UTR), and captain utilization.
• Identify trends, anomalies, and performance gaps within the last mile operations data.
• Perform root cause analysis for identified issues and provide actionable recommendations for improvement.
• Present findings and insights clearly and effectively to operational stakeholders.
• Analyze workforce utilization and scheduling effectiveness to optimize resource allocation.
• Combine shift planning data with operational performance metrics to identify correlations and areas for optimization.
• Identify under-planned store-hour combinations and potential capacity risks within the delivery network.
• Highlight high-risk time slots and support demand forecasting initiatives to ensure adequate capacity.
• Prepare weekly and monthly business performance reports for cross-functional review.
• Support Operations, Planning, and Ground Teams with structured data outputs to aid their decision-making processes.
• Deliver insights that enable both operational improvements and strategic decision-making.
• Assist leadership teams by providing data-driven support during performance review discussions.
• Standardize reporting inputs and data sources to ensure consistency across the organization.
• Identify, investigate, and resolve data discrepancies to maintain data integrity.
• Document reporting logic, data definitions, and dashboard methodologies for clarity and future reference.
• Maintain dashboard version control and adhere to reporting governance standards.

Qualifications and Requirements

• A Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• 1-3 years of experience in Data Analysis, Business Intelligence, or Reporting roles.
• Previous experience in logistics, delivery, supply chain, or e-commerce environments is preferred.
• Demonstrated experience in building operational dashboards and performance reports.
• Advanced proficiency in Microsoft Excel and/or Google Sheets.
• Strong SQL skills for data extraction, manipulation, and analysis.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Ability to work with large datasets and perform advanced data analysis.
• Knowledge of reporting automation techniques and dashboard development best practices.
• Strong analytical and problem-solving skills.
• Ability to translate complex data into actionable business insights.

Required Skills

• Microsoft Excel
• Google Sheets
• SQL
• Power BI
• Tableau
• Data Analysis
• Reporting Automation
• Dashboard Development
• Problem-solving
• Analytical skills

Work Location and Experience

This is a full-time position based in Riyadh, Saudi Arabia. The role requires 0-1 years of experience, making it an opportunity for early-career professionals looking to contribute to the last mile logistics sector.