Data Analyst at Whitecoat
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

18 Jul, 25

Salary

0.0

Posted On

18 Apr, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mathematics, Google Data Studio, Life Sciences, Google Cloud Platform, Statistics, Amazon Web Services, Qlik, Python, Sql, Tableau, Computer Science

Industry

Information Technology/IT

Description

[#wearehiring] [If you are not viewing this at our career site, please go to tinyurl.com/wcgcareers for a better application experience]
WhiteCoat (www.whitecoat.com.sg) is a regional digital healthcare provider founded and headquartered in Singapore, offering on-demand telemedicine services and other services through innovation and data-driven technology. WhiteCoat’s core services include primary care teleconsultations, chronic disease management, health screening services and home-based medical services. As a digital healthcare leader, WhiteCoat partners with global insurance giant, AIA, large conglomerates and other government, and financial organisations to spearhead the way for wider access to affordable healthcare across the Southeast Asia region.

WHO ARE YOU?

We are looking for a talented and enthusiastic Data Analyst to join our Data Science team. The successful candidate will be responsible for analyzing and interpreting complex data sets, providing actionable insights and recommendations to support business decision-making.

Skills / Experience required:

  • 1-3 years of relevant work experience in Analytics or Data Science domain
  • Strong skills in Python and SQL
  • Experience with at least one data visualisation tool (Tableau, Google Data Studio, Qlik, PowerBI etc.)
  • Undergraduate degree in a quantitative discipline (Data Science / Analytics, Statistics, Mathematics, Actuarial Sciences, Computer Science, Engineering, Life Sciences etc.)
  • Good to have: Experience with cloud platforms (e.g. Amazon Web Services, Google Cloud Platform)
Responsibilities

Go to our career page at tinyurl.com/wcgcareers, hit the apply button and we will be in touch

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