Senior Data Analyst | 24 months Contract - #1103833

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.

• Develop and manage automated data pipelines and ETL workflows.

• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.

• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.

• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.

• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).

• Create predictive models and deploy machine learning solutions, including large language models (LLMs).

• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.

• Work closely with GTO and AIO teams to improve data visibility and accessibility.

• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.

• Detect and interpret key trends, patterns, and insights from healthcare data.

• Establish and maintain robust data quality assurance and validation protocols.

• Generate and present clear, data-driven reports and visualizations to stakeholders.

• Ensure all data visualizations are user-centric and accessible to non-technical users.

• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.

• Supervise data standardization and quality management initiatives.

• Ensure adherence to data privacy laws such as PDPA and HBRA.

• Develop secure protocols for safe data exchange and collaborative access.

• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)

• Minimum of 2 years’ experience in healthcare analytics or a similar field.

• Preferably 2–3 years of experience in a leadership or team lead role.

• Strong programming skills in Python, R, and SQL.

• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.

• Proficiency with cloud analytics environments, especially Databricks.

• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.

• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.

• Experience working with cloud providers, particularly AWS.

• Familiarity with container technologies like Docker and Kubernetes.

• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.

• Proficient in REST API development using frameworks like FastAPI.

• Understanding of database design, with hands-on experience using tools like SQLAlchemy.

• Capable of working with large and complex datasets.

• Proficient in using Git for version control and collaborative coding.

• Strong grasp of CI/CD pipelines and DevSecOps best practices.

• Knowledge of medical terminology and healthcare IT systems.

• Demonstrated ability to manage stakeholders and drive successful project outcomes.

• Excellent analytical thinking and problem-solving capabilities.

• Effective communicator with strong presentation, writing, and interpersonal skills.

• Highly detail-oriented, with a commitment to accurate data handling and analysis.

• Able to convert business challenges into technical data solutions.

• Team-oriented, proactive, and capable of thriving under time constraints.

• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit www.gmprecruit.com

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

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