Required: 1. Drive business impact to Revenue, Profitability levers using Analytics use case 2. Design, prototype and implement use cases as Analytics Applications in large scale enterprise environment 3. Identify, prioritize and evaluate use cases based on potential impact 4. Own end to end evangelization of analytics products working with domain business owners 5. Lead agile experimentation of use case prototype across many domains simultaneously 6. Be a conduit between technical experts and business owners to translate business insights into meaningful analytical actions Professional Experience: 1. Wide exposure across many analytics use cases spanning across revenue, profitability, cost reduction, productivity improvement ( ideally in large technology companies) 2. Technical proficiency to develop, test, scale analytics solutions using predictive modeling, machine learning/AI, classification, exploratory research 3. Exposure to programming languages: R/Python, SQL/Hadoop/Spark 4. Exposure to agile project management, product development, analytics app development 5. Must have worked with business leaders closely and comfortable to debate/influence/shape decisions working jointly with business owners, does not restrict access to only technical pool