Analyst / Senior Analyst - Patient Analytics (Bengaluru)

Analyst / Senior Analyst - Patient Analytics (Bengaluru)

21 Aug
|
Recognized
|
Bengaluru

21 Aug

Recognized

Bengaluru

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, we’d 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 2–4 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 creative analytical methods and modeling approaches

- Adapt to evolving client priorities and ambiguous problem statements






Requirements


Education


- Bachelor’s 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




📌 Analyst / Senior Analyst - Patient Analytics (Bengaluru)
🏢 Recognized
📍 Bengaluru

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