- Bedok East Region (Singapore) Singapore
全职 KPI - Data Analyst 工作, 薪水 up to SGD 3,500, S. F. EXPRESS (SINGAPORE) PRIVATE LIMITED East Region (Singapore) 公司招聘中 - Ricebowl
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Job Summary
We are seeking a driven and analytical KPI & Data Analyst to join our team at Changi Airfreight Centre. In this role, you will track business performance, transform raw operational data into actionable insights, and build interactive performance dashboards. You will work closely with department heads and business leaders to support strategic decision-making, optimize daily operations, and resolve operational escalations in a fast-paced environment.
Key Responsibilities
KPI Definition & Tracking:
Align key performance indicators (KPIs) with business goals, establish targets, and monitor real-time operational status.
Data Gathering & Cleaning:
Collect raw data from multiple sources, validate data integrity, and resolve data quality issues.
Dashboard Development:
Build and maintain interactive performance dashboards using business intelligence tools.
Trend Analysis & Reporting:
Conduct exploratory data analysis using in-house systems to spot patterns, diagnose performance gaps, and automate recurring reports.
Stakeholder Collaboration:
Consult with company leaders and department heads to turn complex data findings into clear recommendations for strategic decisions.
Problem Solving & Escalation:
Ensure daily customer and overseas complaints are handled on time and facilitate proper escalation when required.
Requirements
Experience:
2–3 years of relevant experience in data analysis, KPI tracking, or business intelligence.
Education:
Diploma or higher; a course of study in Business Administration, Data Analytics, or a related discipline is an advantage.
Skills & Competencies:
Proficiency in business intelligence tools, data visualization, and advanced data gathering techniques.
Strong analytical and problem-solving skills with keen attention to data accuracy.
Excellent communication skills for effective stakeholder management and leadership consulting.
Comfortable managing daily complaint resolution and operational escalations.
Working Location:
SATS Airfreight Terminal Core A, 81 Airport Cargo Road, Singapore 819459
Working Hours:
5.5 work days [Monday to Friday : 9am to 6pm ; Saturday : 9am to 12 noon]
SF was established in Shunde, Guangdong Province in 1993. On December 12, 2016, SF was approved to be listed in A-Share stock market by the China Securities Regulatory Commission; on February 24, 2017, SF had been officially renamed to SF Holding (SZSE: 002352) .
SF is one of the leading integrated express logistics service providers in China. After years of development, SF has built up a preliminary level of capability for providing customers with one-stop integrated logistics solutions including warehousing management, sales forecasting, big data analysis, and financial management.
SF is an intelligent logistics provider with the advantage of network scale.SF has built an integrated logistics networks of “Aviation Network”, “Ground Network” and “Information Network”, after years of concentration at business operation, and forward-looking strategic planning.
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We are seeking a driven and analytical KPI & Data Analyst to join our team at Changi Airfreight Centre. In this role, you will track business performance, transform raw operational data into actionable insights, and build interactive performance dashboards. You will work closely with department heads and business leaders to support strategic decision-making, optimize daily operations, and resolve operational escalations in a fast-paced environment.
Key Responsibilities
KPI Definition & Tracking:
Align key performance indicators (KPIs) with business goals, establish targets, and monitor real-time operational status.
Data Gathering & Cleaning:
Collect raw data from multiple sources, validate data integrity, and resolve data quality issues.
Dashboard Development:
Build and maintain interactive performance dashboards using business intelligence tools.
Trend Analysis & Reporting:
Conduct exploratory data analysis using in-house systems to spot patterns, diagnose performance gaps, and automate recurring reports.
Stakeholder Collaboration:
Consult with company leaders and department heads to turn complex data findings into clear recommendations for strategic decisions.
Problem Solving & Escalation:
Ensure daily customer and overseas complaints are handled on time and facilitate proper escalation when required.
Requirements
Experience:
2–3 years of relevant experience in data analysis, KPI tracking, or business intelligence.
Education:
Diploma or higher; a course of study in Business Administration, Data Analytics, or a related discipline is an advantage.
Skills & Competencies:
Proficiency in business intelligence tools, data visualization, and advanced data gathering techniques.
Strong analytical and problem-solving skills with keen attention to data accuracy.
Excellent communication skills for effective stakeholder management and leadership consulting.
Comfortable managing daily complaint resolution and operational escalations.
Working Location:
SATS Airfreight Terminal Core A, 81 Airport Cargo Road, Singapore 819459
Working Hours:
5.5 work days [Monday to Friday : 9am to 6pm ; Saturday : 9am to 12 noon]
SF was established in Shunde, Guangdong Province in 1993. On December 12, 2016, SF was approved to be listed in A-Share stock market by the China Securities Regulatory Commission; on February 24, 2017, SF had been officially renamed to SF Holding (SZSE: 002352) .
SF is one of the leading integrated express logistics service providers in China. After years of development, SF has built up a preliminary level of capability for providing customers with one-stop integrated logistics solutions including warehousing management, sales forecasting, big data analysis, and financial management.
SF is an intelligent logistics provider with the advantage of network scale.SF has built an integrated logistics networks of “Aviation Network”, “Ground Network” and “Information Network”, after years of concentration at business operation, and forward-looking strategic planning.
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