BI Engineer SAS

V2 Solutions; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

V2 Solutions is seeking a BI Engineer (SAS) to drive analytics across healthcare data, delivering SAS-based models, reporting, and dashboards. You will work with clinical and operations teams to design studies, validate data, and produce actionable insights for enterprise decision-making.

The role involves building SAS programs, enterprise dashboards, and data-driven solutions, with collaboration across analysts, data engineers, and health plan stakeholders.

Qualifications

• Bachelor's degree in a quantitative field as stated above.
• 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 with 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, regulatory reporting).
• Proficiency in Excel (macros, pivot tables) and strong analytical/problem-solving skills.
• Strong communication, presentation, and stakeholder management skills.

Responsibilities

• SAS Analytics & Statistical Modeling: develop and maintain SAS programs for advanced analytics and reporting.
• Apply statistical modeling, predictive analytics, and data mining techniques to healthcare datasets.
• Conduct healthcare research analytics including study design support and outcomes analysis.
• Perform data analysis and manipulation of complex datasets using SAS procedures and DATA-step programming.
• Build SAS-based reporting solutions including SAS Visual Analytics dashboards and ODS outputs.
• Collaborate with business analysts and clinical teams to propose analytical solutions and proof-of-concept studies.
• Reporting, Dashboards & BI Delivery: create reports and dashboards with SAS Visual Analytics, Tableau, or Power BI.
• Coordinate analytics activities with stakeholders across clinical, operational, and financial domains.
• Ensure data quality, validation, and reconciliation; monitor SLAs and KPIs for analytics delivery.

Skills

SAS analytics

Statistical modeling

Data mining

SQL

Excel

Stakeholder communication

Education

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

Tools

SAS Base

SAS/SQL

SAS Macros

SAS ODS

SAS EG

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