Business Analyst (IC)

Basic Functions • 5-8 years of experience in delivering analytic results in client-focused roles • Strong executive-level clients facing skills and the ability to communicate complex analytical concepts with confidence to a non-technical executive audience • The role will involve meeting with senior client executives at Director, VP, CXO levels (for Data Management, BI, Advanced Analytics, Analytics-led Digital) with prospects/clients, understanding their pain-points, designing high-impact ‘demonstrable’ solutions, and most importantly, following up hot leads to a winning closure • Build senior and strategic relationships through delivery excellence (where applicable) • Tightly collaborate with EXL Health Products (Clinical, Pharmacy, Payments and Life Science) and Solutions teams to develop embedded analytics solutions • Learn from the market and inform solution/service and product design • Leverage hands-on understanding of multiple analytical skill sets and projects to drive support service delivery in successful execution in emerging areas e.g., cloud, NLP (select projects only) • Consolidate learning from multiple projects to help develop new services and solution offerings in partnership with solution architects and product managers • Research emerging technology trends, reflect on market direction and create a direction for operations/service delivery to stay a step ahead of future demand trends • Working seamlessly with other teams including Operations, Sales, Account Teams, and Technology Essential Functions • Multi-disciplinary technologist who enjoys designing, executing and selling Healthcare solutions, and being on the front-line of client communications and selling strategies • Deep understanding of the US Healthcare value chain and key impact drivers [Payer and/or Provider] • Knowledgeable and cognizant of how data management and science is used to solve organizational problems in the healthcare context • Hands-on experience in two (or more) areas of the data and analytics technical domains - Enterprise cloud data warehousing, integration, preparation, and visualization along with artificial intelligence, machine learning, data science, data modeling, data management, and data governance • Strong problem solving and analytical skills and the ability to “roll up your sleeves” and work with a client to create timely solutions and resolutions • Experience ramping up analytics programs with new clients, including integrating with work of other teams to ensure analytics approach is aligned with operations • Ability to engage in consultative selling • Review with the Overall Product Manager & AVP for improvements in the product development lifecycle • Assessment meeting with VP & above for additional product development features. • Train & Mentor juniors in the team on a need basis. • Communicate with onshore stakeholders & Executive Team Members. • Help the Product Management Group set the product roadmap & help in identifying future sellable product features. • Client Interactions to better understands expectations & streamline solutions. If required should be a bridge between the client and the technology teams. Required Skills - SME in U.S Health Care Analytics, Deep Knowledge on Eligibility, Medical and Pharmacy claims data, experience in working on HL7, FHIR, EMR, HER, Population Health Reporting. Need to know hands-on in using JIRA tool, and preparing Requirement documentation Good to have Knowledge on: • Enterprise business intelligence platform (Tableau, PowerBI) • Experience working on tools deployed in Azure Cloud • SQL • Understanding of Healthcare business vertical and the business terms within • Good analytical skills. • Strong communication skills - oral and verbal • Ability to work with various stakeholders across various geography • Excellent Team player, with the ability to build & sustain teams • Should be able to function as an Individual Contributor as well if required. • Mentor people and create a high performing organization (foster relationships, resolve conflicts and so on while delivering performance feedback • Should be experienced enough to figure out the right technology for each type of deployment activity