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Senior Data Analyst

SpringCube

Full time - Senior Engineer

Healthcare Services & Tech

Singapore, All Areas

Published 2 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare organization in Singapore is seeking a Senior Data Analyst / Data Analyst to support its Department of Data Science. The organization focuses on improving patient outcomes through data-driven insights, advanced analytics, and machine learning solutions. The team collaborates with healthcare providers and stakeholders to implement solutions that enhance clinical services and operational efficiency.

Summary
The Data Analyst / Senior Data Analyst will design, develop, and implement analytical models, interpret statistical outcomes, and present insights to support projects aimed at improving patient care. The role requires collaboration with healthcare providers and stakeholders to address challenges through data science, optimization, and machine learning techniques.

Responsibilities

  • Design, develop, and implement analytical and predictive models
  • Interpret and present statistical outcomes to support project objectives
  • Collaborate with healthcare providers to address operational and clinical challenges
  • Ensure solutions are practical, validated, and adopted by end-users
  • Facilitate key meetings and reporting to management
  • Conduct feasibility studies and lead research projects as required
  • Build data analytics capabilities around clinical services
  • Work with incomplete or imperfect data to extract meaningful insights
  • Continuously improve technical skills and knowledge in data science and healthcare analytics

Qualifications

  • Bachelor’s Degree in Computer Science, Mathematics, Physics, Statistics, Operations Research, Engineering, or related quantitative disciplines; Master’s Degree or PhD is an advantage
  • Preferably 1–3 years (Analyst) or 3–5 years (Senior Analyst) of hands-on experience in data science and machine learning
  • Prior experience in a healthcare setting is an advantage but not required
  • Curiosity and willingness to learn about medicine and healthcare practices
  • Strong understanding of the mathematical and statistical foundations of machine learning
  • Fluency in Python and/or R
  • Experience in several of the following skill clusters:
    • Data retrieval – knowledge of SQL, REST APIs
    • Data wrangling – expertise with pandas or similar
    • Data visualization and dashboards – expertise with plotly, Tableau or similar
    • Classical machine learning – expertise with scikit-learn or similar
    • Deep learning – expertise with TensorFlow and/or PyTorch
  • Strong problem-solving, quantitative, and computational abilities
  • Excellent written and oral communication skills
  • Ability to work independently and collaboratively in a team environment

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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