What You‘ll Do

• Focus on leveraging emerging technologies and best business practices to solve some of the challenges in the healthcare/pharma industry
• Develop relation with the client leadership to act as a thought leader and propose new avenues for both client and ProcDNA growth in terms of offerings
• Work with clients to structure and model the data to solve complex business problems
• Design and run analysis for helping clients with strategic decision-making alongside managing team internally. This would include designing, implementing, and improving statistical models, Business Intelligence, and other analytical tools
• Collaborate with clients to model data and solve complex business issues.
• Extensive experience in designing advanced healthcare analytics tools and delivering applications in Tableau, SAS, R, Alteryx, etc. to improve outcomes for patients while managing costs
• Develop and leverage in-depth understanding of data and processes for better project delivery
• Create a structure around recurring tasks and operationalize them
• Work alongside clients to develop tailored solutions to create impactful outcomes.
• Develop and implement innovative solutions along with coaching, guiding, and mentoring Team Leads in the team
• Build, and ideate internal offerings to help the company/team grow on aspects beyond project/client work
• Manage data preparation, exploratory analysis, and insight generation to support modeling and scenario planning
• Operationalize recurring analytics processes to create scalable MMM solutions, including automated reporting, optimization dashboards, and forecasting tools
• Understanding & performing Price Elasticity Modeling-To understand Sales and Volume Relationship
• Regression Analysis using Linear & Logistic models-To analyze the Marketing effectiveness and factors influencing profitability, and to quantify impact of price and promotion on sales of a product

Must Have

• 7-10 years of relevant experience with healthcare/ pharma consulting and clients.
• Bachelor's or Master's degree in Engineering, Statistics, Economics, Applied Mathematics, or a related quantitative field with strong academic performance.
• Strong technical expertise in advanced analytics/statistical modeling, including regression, non-linear optimization, optimization techniques.
• Proven experience in designing and delivering MMx solutions end-to-end, from data structuring to presenting strategic recommendations.
• Ability to work on and manage multiple concurrent projects for multiple stakeholders with a quality-focused approach.
• Proactive and not Reactive approach to work when needed.
• Able to understand, identify and recommend reporting needs and improvements.
• Strong verbal, written and collaboration skills with ability to articulate results and issues to internal and client teams.
• Proven ability to work creatively and analytically in a problem-solving environment with minimal direction.

Skills: marketing mix,linear regression,optimization,marketing mix modeling,price elasticity,data structures