Senior Analyst - Data Scientist at Putnam Leasing in Gurugram

Position Summary

As a Senior Analyst, you will be an integral part of client engagement teams, taking the lead on sophisticated analytics workstreams and developing high-impact analytical deliverables. You will leverage advanced analytical, coding, and modeling skills to address complex business challenges for life sciences clients, while also contributing to the advancement of methodological best practices within the data analytics team.

A substantial focus of this role will be on commercial analytics and business intelligence. This includes marketing and sales analytics, real-world data analysis (such as claims and EHR), and the creation and deployment of dashboards and data visualizations to support strategic and operational decision-making.

In this capacity, you will collaborate closely with case team leadership to design and implement analytical strategies, translate ambiguous business inquiries into structured analytical plans, and articulate insights clearly to both internal stakeholders and clients.

Desired Skills and Experience

The ideal candidate for this Senior Analyst position is a highly motivated and analytically rigorous individual with a strong sense of ownership, excellent communication abilities, and the capacity to operate independently in a fast-paced consulting environment.

• Proven experience in analytics and problem-solving, with a Master's degree in a quantitative science field (e.g., engineering, computer/data science, statistics, mathematics) or a PhD.
• For Senior Analyst: Master's degree with 1-2 years of relevant work experience, or a PhD.
• Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS. Strong Excel skills (e.g., Power Query, VBA) are a plus, particularly when applied to commercial analytics use cases like marketing performance, sales effectiveness, patient journeys, and market dynamics.
• A robust foundation in statistical analysis and machine learning, encompassing hypothesis testing, supervised and unsupervised learning, and model evaluation.
• Experience working with cloud-based data and analytics environments (e.g., AWS, Azure, Snowflake).
• Proficiency in business intelligence, dashboarding, and data visualization tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical outcomes into clear, actionable insights.
• Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider, Rx, and payer data from sources like Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), especially in commercial and market-facing analytics. Familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is advantageous.
• Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work within tight deadlines.
• Strong written and verbal communication skills, with the capability to explain complex analytical concepts to non-technical audiences.
• Experience collaborating effectively within hybrid teams across multiple geographies, demonstrating strong teamwork, adaptability, and comfort in a global consulting setting.

We encourage you to apply even if your experience doesn't perfectly align with every requirement. Our company is committed to fostering a diverse, inclusive, and authentic workplace. You might be the ideal candidate for this or other roles.