Senior Associate, Salesforce Effectiveness - India

• 2.5+ years of hands-on experience in US pharma commercial analytics, SFE, or a closely related function - mandatory
• Demonstrated record of delivering HCP/HCO targeting and/or universe sizing outputs in the US pharmaceutical market.
• Direct experience with at least 2 of the following datasets: Xponent, claims data (medical/pharmacy), DDD, 867/852, specialty pharmacy, or shipment/wholesaler data.
• Experience working within or alongside field-facing commercial teams (brand, sales, commercial operations)
• SQL (Must have) - proficient in complex queries: joins, aggregations, window functions, CTEs
• Excel (Must have) - advanced level for ad-hoc analysis and stakeholder-facing outputs.
• Python (Good to have)- data processing using pandas and numpy; scikit-learn exposure is a plus.
• Strong understanding of the US pharmaceutical commercial ecosystem - Rx data flows, HCP profiling, payer, and channel dynamics
• Familiarity with therapeutic area concepts, treatment pathways, and prescribing dynamics in at least one of: Oncology, Immunology, Cardiovascular, Neurology, Rare Disease, or Primary Care
• Understanding commercial dataset structures, their limitations, and how they inform targeting decisions.
• Effective communication skills - comfortable presenting to brand teams, field leadership, and senior stakeholders.
• Ability to manage and prioritize multiple deliverables in a fast-paced, dynamic environment.
• Sales force alignment experience - territory design, workload balancing, call planning principles.
• Alignment tools: AlignPlus, ProAlign, or equivalent
• Specialty pharmacy workflows, hub services, and patient services data
• KOL / medical affairs analytics or scientific engagement measurement

Originally posted on Himalayas