Senior Associate, Commercial Analytics (Salesforce Effectiveness) - India

Remote
Full Time
CA
Experienced
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our 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.
We 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.

Job Title: Senior Associate
Function: Sales Force Effectiveness
Experience Required: 2.5+ years - US pharma commercial analytics / SFE.
US Pharma Domain: Mandatory
Location: India (Remote)
REQUIRED QUALIFICATIONS
Experience
  • 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)
Technical Skills
  • 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.
Domain Knowledge
  • 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.
Communication & Ways of Working
  • 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.
GOOD-TO-HAVE SKILLS
  • 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
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