BI Engineer SAS

PwC; Hyderabad, Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

PwC in India seeks a BI Engineer (SAS) to drive analytics across healthcare datasets, delivering SAS-based statistical analyses, predictive modeling, and reporting solutions. The role collaborates with business analysts, clinical informatics, and health plan stakeholders to transform data into actionable insights.

The incumbent will develop SAS programs, create dashboards (SAS Visual Analytics, Tableau/Power BI), and ensure data quality while managing SLAs in a US healthcare context.

Qualifications

• Bachelor's Degree in a quantitative field (CS/IT/Stats/Math/Data Science).
• 3–5 years in SAS analytics and BI development in an enterprise setting.
• Strong SAS skills: coding, reporting, graphs, data management and mining.

Responsibilities

• Develop and maintain SAS programs for advanced analytics and reporting.
• Apply SAS-based statistical modeling and data mining to clinical, financial, and operational data.
• Build SAS Visual Analytics dashboards and ODS outputs for executive audiences.
• Coordinate with business analysts and clinical teams to propose analytic solutions and conduct proofs-of-concept.
• Ensure data quality and validation across all SAS outputs and manage SLAs/KPIs.

Skills

Analytical thinking

Problem-solving

Communication

Stakeholder management

Education

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

Tools

SAS Base/SQL/Macros/ODS

SAS Visual Analytics

Tableau

Power BI

SQL

Job description

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.

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
• 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
• Manage client escalations and ensure timely resolution of analytical issues and reporting discrepancies
• Contribute to documentation of analytical methodologies, runbooks, and standard operating procedures
• Maintain strong communication, problem-solving, quantitative, and analytical abilities when engaging with senior IT and business stakeholders
• 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