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Posted 17 June, 2026

Senior Associate, Commercial Analytics (SFE)

KMK Consulting Inc.
Amritsar, PB, IN Full Time
Reference: 5bd45134d1bdabf3

Job Description

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.\n\nOur data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies.\nWe have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.\n\nJob Title: Senior Associate\nFunction: Sales Force Effectiveness\nExperience Required: 2.5 + years - US pharma commercial analytics / SFE.\nUS Pharma Domain: Mandatory\n\nREQUIRED QUALIFICATIONS\nExperience\n2.5+ years of hands-on experience in US pharma commercial analytics, SFE, or a closely related function - mandatory\nDemonstrated record of delivering HCP/HCO targeting and/or universe sizing outputs in the US pharmaceutical market.\nDirect experience with at least 2 of the following datasets: Xponent, claims data (medical/pharmacy), DDD, 867/852, specialty pharmacy, or shipment/wholesaler data.\nExperience working within or alongside field-facing commercial teams (brand, sales, commercial operations)\nTechnical Skills\nSQL (Must have) - proficient in complex queries: joins, aggregations, window functions, CTEs\nExcel (Must have) - advanced level for ad-hoc analysis and stakeholder-facing outputs.\nPython (Good to have)- data processing using pandas and numpy; scikit-learn exposure is a plus.\nDomain Knowledge\nStrong understanding of the US pharmaceutical commercial ecosystem - Rx data flows, HCP profiling, payer, and channel dynamics\nFamiliarity with therapeutic area concepts, treatment pathways, and prescribing dynamics in at least one of: Oncology, Immunology, Cardiovascular, Neurology, Rare Disease, or Primary Care\nUnderstanding commercial dataset structures, their limitations, and how they inform targeting decisions.\nCommunication & Ways of Working\nEffective communication skills - comfortable presenting to brand teams, field leadership, and senior stakeholders.\nAbility to manage and prioritize multiple deliverables in a fast-paced, dynamic environment.\nGOOD-TO-HAVE SKILLS\nSales force alignment experience - territory design, workload balancing, call planning principles.\nAlignment tools: AlignPlus, ProAlign, or equivalent\nSpecialty pharmacy workflows, hub services, and patient services data\nKOL / medical affairs analytics or scientific engagement measurement

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