Senior Engagement Lead

Job Description About Us ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 200+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Why consider this role At ProcDNA, you will work as a client champion and work across various domains to get a holistic understanding of client needs, you will work directly with senior team members and get an accelerated learning path, which of course will ensure fast-paced personal and professional growth. What We Are Looking For We are looking for a Senior Engagement Lead Analytics (Marketing-Mix-Modeling) to join our team. You are someone who has good understanding of the pntnentharmaceutical industry, have detailed knowledge of various datasets like LAAD, DDD, XPO, etc., enjoys working on complex data sets to help clients solve diverse real-world problems and drive business performance, navigate risk, and develop pragmatic strategies through data-driven insights. 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