BI Engineer (SAS)

PwC Acceleration Centers; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

PwC Acceleration Centers is seeking a SAS BI Developer / Advanced Analytics Analyst to contribute to Healthcare Analytics & Insights Managed Services. You will perform SAS-based statistical analysis, healthcare research analytics, predictive modeling, and decision-support reporting across clinical, operational, financial, and health plan domains.

You will work with business analysts, clinical informatics teams, and health plan stakeholders to translate complex healthcare data into actionable

Qualifications

• 3–5 years of SAS analytics and BI development experience.
• Strong expertise in SAS for modeling, data mining, and reporting.
• SQL proficiency for complex queries in healthcare analytics.
• Excellent communication and stakeholder management skills.

Responsibilities

• Develop and maintain SAS programs for advanced analytics and reporting.
• Apply statistical modeling, predictive analytics, and data mining using SAS.
• Create SAS Visual Analytics dashboards and ODS outputs for leadership audiences.
• Collaborate with business analysts and clinical teams to implement SAS-based solutions.

Skills

Communication

Analytical thinking

Problem solving

SAS analytics

Education

Bachelor's degree in Computer Science/IT/Statistics/Data Science

Tools

Tableau

Power BI

SQL

Job description

Tools (Good to have)

• Tableau, Power BI, SQL

Position Summary

The 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 Responsibilities

SAS Analytics & Statistical Modeling

• Develop and maintain SAS programs using Base SAS, SAS/SQL, SAS/Macros, SAS/ODS, SAS/STAT, and SAS Enterprise Guide for advanced analytics and reporting
• Apply statistical modeling, predictive analytics, and data mining techniques using SAS to generate insights across clinical, financial, and operational datasets
• Conduct healthcare research analytics including study design support, outcomes analysis, and population health insights using SAS
• Perform 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 audiences
• Work with business analysts and clinical teams to propose analytical solutions, conduct proof-of-concept studies, and implement SAS-based systems

Healthcare & Clinical Analytics

• Support claims, pharmacy, provider, member, and population health analytics for Health Plan (PHP) and clinical (PDS/PMG) stakeholders
• Develop and maintain HEDIS reporting, government compliance reporting, and regulatory analytics using SAS
• Support integrated informatics activities including clinical KPI development, performance measurement, and decision-support reporting across provider and health plan domains
• Contribute to landmark health studies and outcomes research initiatives leveraging Optum, Johns Hopkins, or equivalent healthcare data and groupers
• Support enterprise reporting for HR, Finance, Legal, and shared services functions using SAS and Tableau as neede
• Create visually impactful reports and dashboards using SAS Visual Analytics and, where required, Tableau or Power BI for data reporting
• Extract, interpret, and analyze data to identify key metrics and present findings in clear, business-ready formats
• Apply expertise in measures, hierarchies, data refresh, report governance, and complex visualizations for enterprise BI delivery
• Coordinate and manage data analytics and reporting activities with stakeholders across clinical, operational, and financial domains
• Participate in requirement gathering with business stakeholders and evaluate data as per analytical requirements
• Collaborate with cross-functional teams including data engineers, data scientists, clinical analysts, and business analysts to deliver end-to-end analytical solutions
• Ensure data quality, accuracy, and consistency across all SAS-based analytical outputs through rigorous validation and reconciliation practices
• Monitor and manage service-level agreements (SLAs) and key performance indicators (KPIs) for analytics delivery
• Comfortable working in shifts, especially the US shift

Required Qualifications

• Minimum Degree Required: Bachelor's Degree in Computer Science, IT, Statistics, Mathematics, Data Science, Economics, or a related quantitative field
• 3 – 5 Years of SAS analytics and BI development experience in a managed services or enterprise analytics environment
• Strong expertise in statistical modeling, predictive analytics, and data mining using SAS
• Experience in SAS Coding, Reporting, SAS Graphs, Data Management, and Data Mining — ability to validate and manipulate complex healthcare datasets
• Solid understanding of SQL and relational databases; ability to write and analyze complex SQL queries
• Experience 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 strong analytical and problem-solving skills
• Strong communication, presentation, and stakeholder management skills .