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1 day agooraclecloud

Business Analyst (IC)

EXL / Business Consulting and Services
Chennai, Tamil Nadu, IndiaOn-siteFull Time
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AI Summary

The role involves designing and selling healthcare analytics solutions while collaborating with product, technology, and client teams to drive business outcomes. You will act as a bridge between clients and technical teams, managing product roadmaps and mentoring junior team members.

Candidates must have 5-8 years of experience in healthcare analytics with deep knowledge of the U.S. healthcare value chain and claims data. Proficiency in data management, BI tools, cloud platforms, and strong executive-level communication skills are essential.

Job Details
Job Type: FULL TIME
Visa Sponsorship: No
Work Arrangement: On-site
Experience Level: 5 - 10 years
Hours: 40 hrs/week
Language: English
Key Skills
U.S. Healthcare AnalyticsClaims DataEligibilityHL7FHIREMREHRPopulation Health ReportingJIRARequirement DocumentationTableauPowerBIAzure CloudSQLData ModelingConsultative Selling
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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

Responsibilities

  • 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.

Qualifications

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
About EXL

EXL is a strategic partner specializing in data-driven solutions, digital transformation, and operational efficiency, empowering businesses to enhance decision-making and achieve sustainable growth.

Business Consulting and Services
60,583 employees
New York, NY
Most staff in IND
$1.1B raised
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Categories
Information TechnologyHealth CareBankingConsultingManagement ConsultingAnalytics
Specialties
Operations ManagementDecision AnalyticsTechnology PlatformsHealthcareFinance & AccountingInsuranceRisk & Financial ManagementTravelTransportation and logisticsBanking and Financial ServicesOperations & Process ExcellenceUtilitiesAnalyticsDigital TransformationManagement ConsultingFinance TransformationIT AuditArtificial IntelligenceAutomationRoboticsMachine Learningand NLP