Data Analyst - Last Mile Performance
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Key skills for this role
About the Role
Ninja is seeking a Data Analyst to support Last Mile Operations in Riyadh. The role involves building operational dashboards, analyzing delivery performance metrics, and supporting capacity planning.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain daily, weekly, and monthly KPI dashboards
- Automate recurring reports to improve reporting efficiency
- Ensure data accuracy, consistency, and timely delivery to stakeholders
- Monitor operational performance metrics and reporting health
- Conduct deep dive analysis on key metrics including SLA, assignment time, fulfillment rate, UTR, and captain utilization
- Identify trends, anomalies, and performance gaps
- Perform root cause analysis and provide actionable recommendations
- Present findings and insights to operational stakeholders
- Analyze workforce utilization and scheduling effectiveness
- Combine shift planning data with operational performance metrics
- Identify under planned store hour combinations and capacity risks
- Highlight high risk time slots and support demand forecasting initiatives
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field
- 1 3 years of experience in Data Analysis, Business Intelligence, or Reporting
- Previous experience in logistics, delivery, supply chain, or e commerce environments is preferred
- Experience building operational dashboards and performance reports
- Advanced proficiency in Microsoft Excel and/or Google Sheets
- Strong SQL skills for data extraction and analysis
- Experience with Power BI, Tableau, or similar visualization tools
- Ability to work with large datasets and perform advanced data analysis
- Knowledge of reporting automation and dashboard development
Full Job Posting
Job Summary
- We are seeking a detail oriented and analytical Data Analyst to support Last Mile Operations through data driven insights, performance reporting, and workforce analytics.
- The ideal candidate will be responsible for building operational dashboards, analyzing delivery performance metrics, supporting capacity planning initiatives, and ensuring data quality across reporting systems.
- This role plays a key part in enabling operational excellence and informed decision making across cross functional teams.
Build and Maintain Operational Performance Dashboards and Reports
- Design, develop, and maintain daily, weekly, and monthly KPI dashboards
- Automate recurring reports to improve reporting efficiency
- Ensure data accuracy, consistency, and timely delivery to stakeholders
- Monitor operational performance metrics and reporting health
Analyze Last Mile Operational Data
- Conduct deep dive analysis on key metrics including SLA, assignment time, fulfillment rate, UTR, and captain utilization
- Identify trends, anomalies, and performance gaps
- Perform root cause analysis and provide actionable recommendations
- Present findings and insights to operational stakeholders
Support Capacity Planning and Workforce Analytics
- Analyze workforce utilization and scheduling effectiveness
- Combine shift planning data with operational performance metrics
- Identify under planned store hour combinations and capacity risks
- Highlight high risk time slots and support demand forecasting initiatives
Provide Data Support for Cross Functional Performance Reviews
- Prepare weekly and monthly business performance reports
- Support Operations, Planning, and Ground Teams with structured data outputs
- Deliver insights that enable operational and strategic decision making
- Assist leadership teams during performance review discussions
Maintain and Improve Data Quality and Reporting Infrastructure
- Standardize reporting inputs and data sources
- Identify, investigate, and resolve data discrepancies
- Document reporting logic, definitions, and dashboard methodologies
- Maintain dashboard version control and reporting governance standards
Education
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field
Experience
- 1 3 years of experience in Data Analysis, Business Intelligence, or Reporting
- Previous experience in logistics, delivery, supply chain, or e commerce environments is preferred
- Experience building operational dashboards and performance reports
Technical Skills
- Advanced proficiency in Microsoft Excel and/or Google Sheets
- Strong SQL skills for data extraction and analysis
- Experience with Power BI, Tableau, or similar visualization tools
- Ability to work with large datasets and perform advanced data analysis
- Knowledge of reporting automation and dashboard development
Preferred Qualifications
- Certifications in SQL, Python, Power BI, or Data Analytics
- Understanding of Last Mile Operations and related KPIs such as SLA, UTR, CPO, Fulfillment Rate, and Utilization Metrics
- Strong analytical and problem solving skills
- Ability to translate complex data into actionable business insights
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