BI Engineer (SAS)

BI Engineer (SAS)

Location

Bangalore / Hyderabad

Experience

3 -10 Years

Tools (Must)

SAS (Base, SAS/SQL, SAS/Macros, SAS/ODS, SAS EG, SAS Visual Analytics)

Tools (Good to have)

Tableau, Power BI, SQL

Industry

Healthcare (US) — Claims, Clinical, HEDIS, Pharmacy, Population Health

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

Reporting, Dashboards & BI Delivery

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

Collaboration, SLA & Quality

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 .