ROLE PROFILE

Our client helps hospitals and pharmacies turn raw information into actionable intelligence — from optimizing supply chains to predicting patient needs. We’re looking for a Data Analyst who’s comfortable wrangling complex datasets and excited to apply AI and machine learning to real-world business problems.

Key Responsibilities

• Collect, clean, and analyze data from multiple healthcare and ERP sources.
• Design dashboards, KPIs, and visual reports that translate insights into business decisions.
• Build predictive and prescriptive models using AI/ML techniques to support forecasting and operational efficiency.
• Work closely with engineers to integrate analytics models into the ERP system.
• Validate and communicate findings to both technical and non-technical stakeholders.
• Contribute to data governance and ensure compliance with healthcare data privacy standards.

Requirements

• Proven experience as a Data Analyst or Data Scientist, preferably in a SaaS or healthcare setting.
• Strong proficiency with SQL, Python, and data analysis libraries (Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools such as Power BI, Tableau, or Metabase.
• Familiarity with AI/ML concepts: regression, classification, clustering, time-series forecasting.
• Understanding of ETL pipelines and cloud data environments (e.g., AWS, GCP, or Azure).
• Bonus: experience with LLMs or applied AI tools for business automation.