Job DescriptionBI Engineer (SAS) NnLocation NBangalore / Hyderabadn NExperiencen3 -10 Years NnTools (Must) NSAS (Base, SAS/SQL, SAS/Macros, SAS/ODS, SAS EG, SAS Visual Analytics) NnTools (Goodto have) NTableau, Power BI, SQL NnIndustry NHealthcare (US) — Claims,Clinical, HEDIS, Pharmacy, Population Health NnPosition Summary NnThe 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. NnKey Responsibilities NnSAS Analytics & Statistical Modeling NDevelop and maintain SAS programs using Base SAS, SAS/SQL, SAS/Macros, SAS/ODS, SAS/STAT, and SAS Enterprise Guide for advanced analytics and reporting NApply statistical modeling, predictive analytics, and data mining techniques using SAS to generate insights across clinical, financial, and operational datasets NConduct healthcare research analytics including study design support, outcomes analysis, and population health insights using SAS NPerform data analysis, validation, and manipulation of complex datasets using DATA-step programming, SAS Procedures, SAS Functions, SAS Graphs, and Output Delivery System (ODS)



NBuild and maintain SAS-based reporting solutions including SAS Visual Analytics dashboards and ODS-driven outputs for executive and operational audiences NWork with business analysts and clinical teams to propose analytical solutions, conduct proof-of-concept studies, and implement SAS-based systems NHealthcare & Clinical Analytics NSupport claims, pharmacy,provider, member, and population health analytics for Health Plan (PHP) and clinical (PDS/PMG) stakeholders NDevelop and maintain HEDIS reporting, government compliance reporting, and regulatory analytics using SAS NSupport integrated informatics activities including clinical KPI development, performance measurement, and decision-support reporting across provider and health plan domains NContribute to landmark health studies and outcomes research initiatives leveraging Optum, Johns Hopkins, or equivalent healthcare data and groupers NSupport enterprise reporting for HR, Finance, Legal, and shared services functions using SAS and Tableau as neede NReporting, Dashboards & BI Delivery NCreate visually impactfulreports and dashboards using SAS Visual Analytics and, where required, Tableau or Power BI for data reporting NExtract, interpret, and analyze data to identify key metrics and present findings in clear, business-ready formats NApply expertise in measures, hierarchies, data refresh, report governance,



and complex visualizations for enterprise BI delivery NCoordinate and manage data analytics and reporting activities with stakeholders across clinical, operational, and financial domains NParticipate in requirement gathering with business stakeholders and evaluate data as per analytical requirements NCollaboration, SLA & Quality NCollaborate with cross-functional teams including data engineers, data scientists, clinical analysts, and business analysts to deliver end-to-end analytical solutions NEnsure data quality, accuracy, and consistency across all SAS-based analytical outputs through rigorous validation and reconciliation practices NMonitor and manage service-level agreements (SLAs) and key performance indicators (KPIs) for analytics delivery NComfortable working in shifts, especially the US shift NnRequired Qualifications NnMinimum Degree Required: Bachelor's Degree in Computer Science, IT, Statistics, Mathematics, Data Science, Economics, or a related quantitative field N3 – 5 Years of SAS analytics and BI development experience in a managed services or enterprise analytics workplace NStrong expertise in statistical modeling, predictive analytics, and data mining using SAS NExperience in SAS Coding,Reporting, SAS Graphs, Data Management, and Data Mining — ability to validate and manipulate complex healthcare datasets NSolid understanding of SQL and relational databases; ability to write and analyze complex SQL queries NExperience delivering analytics and reporting for healthcare domains — claims, clinical, pharmacy, HEDIS, population health, or regulatory reporting programs (Managed Services and Managed Assets) NCompetency in Excel (macros, pivot tables) and strong analytical and problem-solving skills NStrong communication, presentation, and stakeholder management skills .

📌 Bi Engineer (Vasanthanagar)
🏢 PwC Acceleration Centers
📍 Vasanthanagar