Title:  Senior Data Analyst

Job Description

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven.  We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Must Have

Role: Senior - Data Analyst

Description: 

We are looking for a results-driven and hands-on Senior Data Scientist / Analyst with 5–6 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members.

You will collaborate closely with onshore stakeholders and cross-functional teams to solve complex business problems, translate objectives into analytical approaches, and deliver scalable AI/ML solutions using tools like Dataiku, PySpark, and Snowflake.

•    Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions.
•    Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies.
•    Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data.
•    Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams.
•    Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling.
•    Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models.
•    Ensure data quality through systematic QC checks, test case creation, and validation frameworks.
•    Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows.
•    Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics.

Good to have

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.