Operational Excellence Analyst: KPI & Automation

PEOPLE PROFILERS PTE. LTD.

Singapore

On-site

SGD 60,000 - 90,000

Full time

9 days ago
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Job summary

PEOPLE PROFILERS PTE. LTD. is seeking a data-driven Operations KPI Specialist in East Singapore.

You will own KPI reporting, definitions, and dashboards, steering data-driven improvements across the logistics operations. The role emphasizes automating workflows and partnering with IT and clients to implement enhancements. The ideal candidate has a background in logistics or analytics, hands-on skills with R and Python, RPA and low-code apps, and strong visualization capabilities to drive process

Qualifications

  • Bachelor's degree in Logistics, Supply Chain, Data Analytics or Engineering.
  • Hands-on experience with R programming and Python.
  • Experience with RPA and low-code platforms (PowerApps/PowerAutomate).
  • Proficient in dashboards and visualization tools (Power BI/Tableau).
  • Strong Excel/Office suite skills including VBA and Access.

Responsibilities

  • Maintain KPI dashboards and scorecards for assigned Operations.
  • Understand KPI definitions, targets, frequency, and data sources.
  • Identify KPI issues and trigger corrective actions with relevant teams.
  • Drive digitalisation by designing and implementing automation/workflow platforms.
  • Construct value stream maps and analyse data trends for improvements.
  • Collaborate with IT and customers on parameter changes and enhancements.

Skills

R programming
Python
RPA
Low-code apps
Data visualization

Education

Bachelor's degree in Logistics/Supply Chain/Data Analytics/Engineering

Tools

Power BI
Tableau
Excel
Access
VBA
R programming
Python

Job description

PEOPLE PROFILERS PTE. LTD. is seeking a data-driven Operations KPI Specialist in East Singapore.

You will own KPI reporting, definitions, and dashboards, steering data-driven improvements across the logistics operations. The role emphasizes automating workflows and partnering with IT and clients to implement enhancements. The ideal candidate has a background in logistics or analytics, hands-on skills with R and Python, RPA and low-code apps, and strong visualization capabilities to drive process

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