Senior Associate, Commercial Analytics (Salesforce Effectiveness) - India

Other Jobs To Apply

No other job posts for this day.

<span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="line-height:115%;"><b>KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.</b></span><br><br><span style="line-height:115%;">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.<br>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.</span><br><br><span style="color:#1a2340;"><b><span style="color:#0a2342;">Job Title: </span></b>Senior Associate</span><br><span style="color:#1a2340;"><b><span style="color:#0a2342;">Function: </span></b>Sales Force Effectiveness</span><br><span style="color:#1a2340;"><b><span style="color:#0a2342;">Experience Required: 2.5</span></b>+ years - US pharma commercial analytics / SFE.</span><br><span style="color:#1a2340;"><b><span style="color:#0a2342;">US Pharma Domain: </span></b>Mandatory<br><strong>Location: India (Remote)</strong></span><br><span style="background:#0a2342;"><span style="color:#1a2340;"><b><span style="color:#FFFFFF;">REQUIRED QUALIFICATIONS</span></b></span></span><br><span style="color:#1a2340;"><b><span style="color:#1565c0;">Experience</span></b></span></span></span><ul style="margin-top:1px;margin-bottom:1px;"><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">2.5+ years of hands-on experience in US pharma commercial analytics, SFE, or a closely related function - mandatory</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Demonstrated record of delivering HCP/HCO targeting and/or universe sizing outputs in the US pharmaceutical market.</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Direct experience with at least 2 of the following datasets: Xponent, claims data (medical/pharmacy), DDD, 867/852, specialty pharmacy, or shipment/wholesaler data.</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Experience working within or alongside field-facing commercial teams (brand, sales, commercial operations)</span></span></span></li></ul><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;"><b><span style="color:#1565c0;">Technical Skills</span></b></span></span></span><ul style="margin-top:1px;margin-bottom:1px;"><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">SQL (Must have) - proficient in complex queries: joins, aggregations, window functions, CTEs</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Excel (Must have) - advanced level for ad-hoc analysis and stakeholder-facing outputs.</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Python (Good to have)- data processing using pandas and numpy; scikit-learn exposure is a plus.</span></span></span></li></ul><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;"><b><span style="color:#1565c0;">Domain Knowledge</span></b></span></span></span><ul style="margin-top:1px;margin-bottom:1px;"><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Strong understanding of the US pharmaceutical commercial ecosystem - Rx data flows, HCP profiling, payer, and channel dynamics</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Familiarity with therapeutic area concepts, treatment pathways, and prescribing dynamics in at least one of: Oncology, Immunology, Cardiovascular, Neurology, Rare Disease, or Primary Care</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Understanding commercial dataset structures, their limitations, and how they inform targeting decisions.</span></span></span></li></ul><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;"><b><span style="color:#1565c0;">Communication & Ways of Working</span></b></span></span></span><ul style="margin-top:1px;margin-bottom:1px;"><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Effective communication skills - comfortable presenting to brand teams, field leadership, and senior stakeholders.</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Ability to manage and prioritize multiple deliverables in a fast-paced, dynamic environment.</span></span></span></li></ul><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="background:#0a2342;"><span style="color:#1a2340;"><b><span style="color:#FFFFFF;">GOOD-TO-HAVE SKILLS</span></b></span></span></span></span><ul style="margin-top:1px;margin-bottom:1px;"><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Sales force alignment experience - territory design, workload balancing, call planning principles.</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Alignment tools: AlignPlus, ProAlign, or equivalent</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">Specialty pharmacy workflows, hub services, and patient services data</span></span></span></li><li style="margin-top:1px;margin-bottom:1px;"><span style="font-size:12px;"><span style="font-family:Arial, Helvetica, sans-serif;"><span style="color:#1a2340;">KOL / medical affairs analytics or scientific engagement measurement</span></span></span></li></ul>

Back to blog