Job description

Role Summary We are seeking a detail-oriented and analytical Business Analyst to transform unstructured patient-related data into meaningful business insights. The role will primarily focus on analyzing patient feedback, clinical notes, complaints, compliments, survey responses, and other textual data using Natural Language Processing (NLP), AI, and text analytics techniques. The analyst will identify trends, sentiment, recurring concerns, and improvement opportunities to enhance patient experience, clinical outcomes, and operational efficiency. Key Responsibilities - Analyze large volumes of structured and unstructured patient data from multiple hospital systems. - Perform text analytics on patient feedback, complaints, compliments, survey responses, call transcripts, and physician/nursing notes. - Apply Natural Language Processing (NLP) techniques to identify recurring themes, sentiment, keywords, and patient experience trends. - Develop dashboards and reports highlighting actionable insights for leadership. - Collaborate with Patient Experience, Clinical, Nursing, Quality, Operations, and Digital teams to solve business problems using data. - Design and maintain KPIs related to patient satisfaction, service quality, complaint resolution, and operational performance. - Translate business requirements into analytical models and reporting frameworks. - Build predictive models to identify risk areas affecting patient experience and hospital performance. - Support AI-driven initiatives for patient journey optimization and service excellence. - Validate data quality and ensure data governance standards are maintained. - Present findings to senior stakeholders through compelling visualizations and executive presentations. - Recommend process improvements based on analytical findings and industry best practices. Qualifications - Bachelor's /Master's degree in Statistics, Mathematics, Healthcare Management, Data Science, or a related field. - Master's degree (MBA/MHA/Data Analytics) is preferred. Experience - 36 years of experience in Business Analytics, Healthcare Analytics, Data Analytics, or Business Intelligence. - Experience in healthcare, hospitals, health-tech, insurance, or life sciences is preferred. - Hands-on experience working with patient data, healthcare quality metrics, or patient experience analytics is an advantage. Technical Skills - Strong SQL skills for querying and managing data. - Advanced Microsoft Excel. - Power BI or Tableau for dashboard development. - Python or R for data analysis. - Experience with Natural Language Processing (NLP) libraries such as spaCy, NLTK, Hugging Face, or Azure/OpenAI AI services. - Familiarity with machine learning concepts and text mining techniques. - Experience working with electronic medical records (EMR/EHR), CRM, or Hospital Information Systems (HIS) is preferred. - Knowledge of data visualization and storytelling. Core Competencies - Analytical and critical thinking - Problem-solving ability - Data interpretation and storytelling - Stakeholder management - Excellent communication and presentation skills - Business acumen - Attention to detail - Process improvement mindset - Cross-functional collaboration - Patient-centric approach