About the role
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟱 𝗟𝗣𝗔)
Experience: 2+ yrs
Location: Remote (India)
Job Type: Full-time
We are looking for an analytical and commercially minded Commercial Analytics Analyst to support business decision-making for a US oncology pharmaceutical brand. The role involves answering complex, open-ended business questions by analyzing multiple commercial data sources and translating insights into clear, actionable recommendations for non-technical stakeholders.
The ideal candidate will have strong expertise in US pharma commercial data, SQL, Databricks, and business analytics , along with the ability to independently investigate ambiguous questions, apply appropriate business rules, and communicate findings effectively.
Requirements Key Responsibilities
- Analyze complex and open-ended business questions from commercial stakeholders across Brand, Sales, Marketing, Market Access, and Medical functions
- Work with diverse US pharma datasets, including claims, EMR/APLD, NRx/TRx, payer, CRM, and digital engagement data
- Determine the appropriate data source, methodology, and business rules required to answer each analytical question
- Write, maintain, and optimize SQL queries on Databricks for large-scale datasets
- Use Python for analytical modelling, automation, and advanced data-processing requirements where appropriate
- Analyze commercial performance across HCPs, accounts, payers, channels, and other relevant dimensions
- Work with metrics such as TRx, NRx, market share, line of therapy, and persistency
- Validate data, investigate inconsistencies, and ensure analytical outputs are accurate and reliable
- Build upon existing analyses and connect current requests with historical findings to maintain consistency
- Form hypotheses, test them against available data, iterate on analysis, and independently arrive at meaningful conclusions
- Translate complex analytical findings into clear, actionable insights for non-technical stakeholders
- Prepare business-ready outputs and presentations using Excel and PowerPoint
- Support launch, pre-launch, and post-launch commercial analytics initiatives where required
- Collaborate with cross-functional stakeholders to understand business context and translate requirements into analytical solutions
- Maintain clear documentation of analytical approaches, business rules, methodologies, and outputs
What Makes You a Great Fit
- 2+ years of hands-on experience in US pharmaceutical commercial data analytics
- Strong experience working with US pharma commercial datasets and business questions
- Strong proficiency in SQL, with experience working on large datasets and writing queries regularly
- Hands-on experience with Databricks or a similar data analytics platform
- Solid understanding of the US pharmaceutical commercial ecosystem, including HCPs, accounts, payers, channels, and commercial metrics
- Strong understanding of TRx, NRx, market share, line of therapy, and persistency
- Experience working with claims, EMR/APLD, sales, payer, CRM, and digital engagement data
- Proven ability to work independently on ambiguous or ad hoc analytical requests
- Strong analytical thinking with the ability to formulate hypotheses, test assumptions, interpret results, and derive actionable insights
- Ability to understand data-source limitations and determine when a particular dataset can or cannot answer a business question
- Strong communication skills with the ability to present analytical findings to non-technical commercial stakeholders
- Proficiency in Excel and PowerPoint for business analysis and presentation
- Experience with Python for modelling or automation is an advantage
- Oncology experience, particularly launch or pre/post-launch analytics, is highly desirable
- Experience in digital channel, website engagement, or market access analytics is a plus
- Exposure to tools such as Javelin, Tableau, Power BI, Alteryx, or KNIME is advantageous
- Experience working in an ad hoc analytics or embedded commercial analytics model is preferred
- Ability to join immediately or within 15 days will be preferred
- Strong attention to detail, ownership, problem-solving ability, and commercial orientation
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