Analyst / Senior Analyst - Patient Analytics

Datazymes Analytics; Bengaluru, Delhi; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

DataZymes Analytics in Bengaluru is seeking a Patient Analytics Analyst/Senior Analyst to leverage claims, EHR, lab and pharmacy data to generate patient-level insights and predictive models for clinical and commercial decision-making.

You will translate complex analyses into actionable business recommendations, work across therapeutic areas, and communicate insights to clients and internal stakeholders with a focus on impact and clarity.

Qualifications

• 2–4 years of experience in healthcare analytics, life sciences analytics, or consulting.
• Hands-on experience with patient-level healthcare datasets
• Experience working across multiple therapeutic areas
• Experience delivering analytics in a client-facing environment preferred

Responsibilities

• Clinical & Therapeutic Analytics: Analyze healthcare delivery models and patient care pathways.
• Patient-Level Data Integration & Journey Mapping: Integrate claims, EHR, lab, and pharmacy data to develop longitudinal patient journeys across care settings.
• Advanced Analytics & Predictive Modeling: Develop SQL/Python queries and build/validate predictive models (classification, regression, survival, clustering).
• Data Interpretation & Storytelling: Translate findings into executive-ready presentations and dashboards for stakeholders.

Skills

Advanced SQL

Python

Education

Bachelor's degree in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field

Master’s degree

Job description

We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, wed love to hear from you.

Job Summary

The Patient Analytics role analyzes integrated healthcare datasets (claims, EHR, lab, and pharmacy) to generate patient-level insights, develop predictive models, and deliver data-driven recommendations that support clinical and commercial decision-making.

DataZymes is seeking a highly analytical and client-focused Patient Analytics Analyst/Senior Analyst with 24 years of experience in healthcare data analytics. The ideal candidate will combine deep clinical understanding, strong patient-level data expertise, and advanced analytical skills to generate insights that drive strategic and operational decisions.

This role requires hands-on experience with integrated healthcare datasets (claims, EHR, lab, pharmacy) and the ability to translate complex analyses into clear, actionable business recommendations.

Clinical & Therapeutic Analytics

• Apply strong understanding of healthcare delivery models and patient care pathways
• Conduct patient centric analysis like treatment pattern, line-of-therapy, and disease progression analyses etc.

Patient-Level Data Integration & Journey Mapping

• Integrate and analyze claims, EHR, lab, and pharmacy datasets etc to develop longitudinal patient journeys across multiple care settings
• Define cohorts, enrollment logic, and episode-of-care frameworks
• Ensure data quality, consistency, and reproducibility

Advanced Analytics & Predictive Modeling

• Develop complex SQL /Python queries for large-scale healthcare datasets
• Use Python to perform predictive modelling to build and validate models (classification, regression, survival, clustering etc)

Data Interpretation & Storytelling

• Translate analytical findings into clear, strategic insights and develop executive-ready presentations and dashboards
• Communicate complex methodologies to both technical and non-technical stakeholders
• Quantify business and clinical impact of recommendations

Innovation & Learning Agility

• Quickly ramp up in new therapeutic areas and problem domains
• Test innovative analytical methods and modeling approaches
• Adapt to evolving client priorities and ambiguous problem statements

Requirements

Education

• Bachelors degree in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field
• Master’s degree preferred

Experience

• 2–4 years of experience in healthcare analytics, life sciences analytics, or consulting
• Hands-on experience with patient-level healthcare datasets
• Experience working across multiple therapeutic areas
• Experience delivering analytics in a client-facing environment preferred

Technical Skills

• Advanced SQL and Python skills
• Experience building and validating predictive models

Domain Expertise

• Strong understanding of care delivery and patient pathways
• Experience linking claims, EHR, lab, and pharmacy data
• Knowledge of longitudinal analysis and real-world evidence generation

Consulting & Communication Skills

• Ability to synthesize complex analyses into actionable recommendations
• Experience engaging cross-functional stakeholders

Personal Attributes

• Learning agility and intellectual curiosity
• Strong ownership and accountability
• Collaborative team player with strong client orientation