Management Consultant - Pharma

• Drive execution of defined workstreams within the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities, in close collaboration with data science & engineering SMEs and teams
• Structure ambiguous business problems into clear analytical approaches, develop hypotheses, and translate them into actionable solution designs in partnership with the Engagement Manager
• Lead client discussions and working sessions on specific modules, presenting findings and recommendations with clarity and confidence in an evolving client environment
• Synthesize analyses into compelling, insight-led recommendations and quantify how solutions and results improve clients objectives
• Perform a role that combines hands-on analytical contribution with day-to-day management of a small team of associates, reviewing their work for quality and rigor
• Contribute to organization building by mentoring associates and helping develop repeatable analytic approaches and reusable consulting assets

• Bachelor s Degree (BE / BTech - CS) from Tier I / II universities like IIT s / NIT s and MBA from Top Tier B-schools (IIMs) preferred.
• 4-7 years of professional work experience in Pharma / Lifesciences analytics domains like HCP/HCO Segmentation, Brand Analytics, Omnichannel Marketing, Dynamic Targeting, Demand Planning, Pricing Management, Supply Analytics etc.
• Strong problem-solving analytical skills with an ability to blend creativity and logical thought to structure and solve complex problems
• Ability to develop and articulate data-backed recommendations based on rigorous data analysis
• Experience in business / technology consulting roles conversant with process improvement, cost optimization, customer analytics and experience management
• Demonstrated client-facing experience with the ability to manage stakeholder relationships and own workstreams at a working level
• Ability to guide and review the work of junior team members

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Hands-on quantitative experience with analytical tools (SQL, Python / R, Excel, BI tools)
• Providing required inputs to sales, and pre-sales activities
• A self-starter who can work well with limited guidance

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