Data Analyst (Contract)

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. • 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 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