BI Engineer (SAS)LocationBangalore / HyderabadExperience3 -10 YearsTools (Must)SAS (Base, SAS/SQL, SAS/Macros, SAS/ODS, SAS EG, SAS Visual Analytics)Tools (Good to have)Tableau, Power BI, SQLIndustryHealthcare (US) — Claims, Clinical, HEDIS, Pharmacy, Population HealthPosition SummaryThe SAS BI Developer / Advanced Analytics Analyst is a core analytics contributor within the Healthcare Analytics & Insights Managed Services engagement. This role is responsible for SAS-based statistical analysis, healthcare research analytics, predictive modeling, and decision-support reporting across clinical, operational, financial, and health plan domains. Working closely with business analysts, clinical informatics teams, and health plan stakeholders, this individual transforms complex healthcare datasets into meaningful, actionable insights that drive enterprise decision-making. The role spans functions including Research & Transition Informatics, Integrated Informatics, Systems Services Informatics, and Health Plan analytics — areas where SAS is the primary analytical engine.Key ResponsibilitiesSAS Analytics & Statistical ModelingDevelop and maintain SAS programs using Base SAS, SAS/SQL, SAS/Macros, SAS/ODS, SAS/STAT, and SAS Enterprise Guide for advanced analytics and reportingApply statistical modeling, predictive analytics, and data mining techniques using SAS to generate insights across clinical, financial, and operational datasetsConduct healthcare research analytics including study design support, outcomes analysis, and population health insights using SASPerform data analysis, validation, and manipulation of complex datasets using DATA-step programming, SAS Procedures, SAS Functions, SAS Graphs,



and Output Delivery System (ODS)Build and maintain SAS-based reporting solutions including SAS Visual Analytics dashboards and ODS-driven outputs for executive and operational audiencesWork with business analysts and clinical teams to propose analytical solutions, conduct proof-of-concept studies, and implement SAS-based systemsHealthcare & Clinical AnalyticsSupport claims, pharmacy, provider, member, and population health analytics for Health Plan (PHP) and clinical (PDS/PMG) stakeholdersDevelop and maintain HEDIS reporting, government compliance reporting, and regulatory analytics using SASSupport integrated informatics activities including clinical KPI development, performance measurement, and decision-support reporting across provider and health plan domainsContribute to landmark health studies and outcomes research initiatives leveraging Optum, Johns Hopkins, or equivalent healthcare data and groupersSupport enterprise reporting for HR, Finance, Legal, and shared services functions using SAS and Tableau as needeReporting, Dashboards & BI DeliveryCreate visually impactful reports and dashboards using SAS Visual Analytics and, where required, Tableau or Power BI for data reportingExtract, interpret, and analyze data to identify key metrics and present findings in clear, business-ready formatsApply expertise in measures, hierarchies, data refresh, report governance,



and complex visualizations for enterprise BI deliveryCoordinate and manage data analytics and reporting activities with stakeholders across clinical, operational, and financial domainsParticipate in requirement gathering with business stakeholders and evaluate data as per analytical requirementsCollaboration, SLA & QualityCollaborate with cross-functional teams including data engineers, data scientists, clinical analysts, and business analysts to deliver end-to-end analytical solutionsEnsure data quality, accuracy, and consistency across all SAS-based analytical outputs through rigorous validation and reconciliation practicesMonitor and manage service-level agreements (SLAs) and key performance indicators (KPIs) for analytics deliveryComfortable working in shifts, especially the US shiftRequired QualificationsMinimum Degree Required: Bachelor's Degree in Computer Science, IT, Statistics, Mathematics, Data Science, Economics, or a related quantitative field3 – 5 Years of SAS analytics and BI development experience in a managed services or enterprise analytics environmentStrong expertise in statistical modeling, predictive analytics, and data mining using SASExperience in SAS Coding, Reporting, SAS Graphs, Data Management, and Data Mining — ability to validate and manipulate complex healthcare datasetsSolid understanding of SQL and relational databases; ability to write and analyze complex SQL queriesExperience delivering analytics and reporting for healthcare domains — claims, clinical, pharmacy, HEDIS, population health, or regulatory reporting programs (Managed Services and Managed Assets)Competency in Excel (macros, pivot tables) and solid analytical and problem-solving skillsStrong communication, presentation, and stakeholder management skills .

📌 Bi Engineer (Sas) (Hyderabad)
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