Data Analyst - Last Mile Performance
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Key skills for this role
About the Role
Ninja seeks a Data Analyst to support Last Mile Operations through data-driven insights, performance reporting, and workforce analytics. Requires 1-3 years experience in data analysis, strong SQL skills, and proficiency in Power BI or Tableau.
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
- 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
- Previous experience in logistics, delivery, supply chain, or e commerce environments is preferred
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 c
Responsibilities
- 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.
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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