Analyst

Profile: Analyst

Job Description

We are looking for MBA/M.Pharma graduates who are passionate about applying their strong domain knowledge and analytical skills in pharmaceuticals — including Therapeutic Areas (TA), Drugs, Mechanism of Action (MoA), and market dynamics — to solve real-world problems through data-driven insights, this is what the role entails:

• Problem solving - Work on complex business problems in the Life Sciences space, Apply structured thinking and domain expertise contribute to strategic and operational forecasting decisions, such as estimating market potential for a new oncology drug based on patient population, treatment guidelines, and competitive landscape. Forecasting monthly demand for a cardiovascular therapy based on historical sales, seasonality, and physician adoption trends.
• Understanding of forecasting concept would be a plus: such as Patient funnel, demand forecasting, market access, Clinical trial phases, market access etc.
• Business knowledge - Proactively seek to understand connections between project work and client's business issues. Understanding business requirements. Independently navigate and work with large complex sources of data.
• Domain knowledge Implementation: Deep understanding of pharmaceutical products, therapeutic areas, and drug mechanisms. Strong command over top TAs like Oncology, Cardiology, Neurology, etc. Ability to contextualize business challenges using:
• Patient journey insights (e.g., diagnosis to treatment initiation timelines)
• Current and pipeline product landscapes
• Public datasets such as:
• CDC, SEER, NIH (US)
• EMA (EU), PMDA (Japan), CNDA (China)
• Preferred: Prior experience in similar domain or exposure to pharma datasets
• Analytical Thinking: Exposure to classical analytical approaches (e.g., forecasting, segmentation, regression), Willingness to learn modern methods and tools (ML/AI exposure is a plus)
• Technical skills - Proficiency in MS Excel and basic understanding of databases/SQL (would be a plus). Willingness to work with data and apply analytical frameworks, ML/AI understanding is a plus, but not mandatory
• Communication - Create client-ready collaterals (e.g.: PPTs, reports, storyboarding, documentation) with minimal direction. Effectively communicate with others across the organization, including global team members.
• Cultural fit - Understand and strive to demonstrate Axtria values (Do the RIGHT thing). Actively find ways to support the broader team in achieving objectives. Build trust and respect with stakeholders through quality of work. Proactively support team members