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Data & Process Innovation Analyst - Virtual Service Center

National Healthcare Group Polyclinics

Singapore

On-site

SGD 60,000 - 80,000

Full time

Yesterday
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Job summary

A leading healthcare institution in Singapore is seeking a Senior / Assistant Manager, Data & Process Innovation Analyst to drive operational excellence and innovation at the Virtual Service Centre. The role involves leveraging data analytics to enhance patient experience and streamline operations. Candidates should have a degree in relevant fields and 2-5 years of experience in data analysis. Strong analytical skills, proficiency in Excel, and experience with visualization tools like Tableau or PowerBI are essential. Fresh graduates with relevant internship experience are welcome to apply.

Qualifications

  • 2-5 years of experience in data analysis or business intelligence.
  • Fresh Graduates with relevant internship experience are welcome.
  • Strong analytical and problem-solving skills with attention to detail.
  • Advanced proficiency in Excel (Pivot Tables, vLookup, etc.).
  • Equipped with data analysis & visualization skills.

Responsibilities

  • Drive operational excellence and innovation across the Virtual Service Centre.
  • Collect, process, and analyze large datasets to identify trends.
  • Develop and maintain dashboards and reports for key performance indicators.
  • Ensure data accuracy, integrity, and consistency across systems.
  • Partner with business units for analytical needs and requirements.

Skills

Data analysis
Data visualization
Problem-solving
Communication skills
Excel proficiency
SQL
Python

Education

Degree in Data Science, Statistics, Computer Science, or Mathematics

Tools

Tableau
PowerBI
Job description
A leading healthcare institution in Singapore is seeking a Senior / Assistant Manager, Data & Process Innovation Analyst to drive operational excellence and innovation at the Virtual Service Centre. The role involves leveraging data analytics to enhance patient experience and streamline operations. Candidates should have a degree in relevant fields and 2-5 years of experience in data analysis. Strong analytical skills, proficiency in Excel, and experience with visualization tools like Tableau or PowerBI are essential. Fresh graduates with relevant internship experience are welcome to apply.
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