About the Role

Seeking a result-driven SAS and SQL professional with over 10 years of experience in delivering robust data-driven solutions across domains like Credit Risk, Fraud Management, Campaign Analytics, and Healthcare. Strong proficiency in SAS Base, SAS Macros, SQL programming, and hands-on experience with ETL pipelines, data warehousing, and business intelligence solutions in agile environments.
 

Key Responsibilities

Develop and optimize SAS Base programs and SQL queries for data extraction, transformation, and loading (ETL) into enterprise data warehouses. Perform data cleansing, manipulation, and preparation from various sources including databases, flat files, APIs, and Excel/CSV. Build and support BI applications and dashboards using SAS tools (Visual Analytics, Visual Investigator, SAS DI Studio) and Power BI. Work on DevOps pipeline for code promotion and deployment using tools like Git, Jenkins, and Bitbucket. Design and maintain fraud detection systems, campaign management flows, and credit risk models (PD, LGD, EAD). Handle performance tuning of SQL/SAS jobs and monitor batch job execution via UNIX scripting and Control-M scheduler. Actively participate in Agile ceremonies, collaborating with stakeholders, product owners, and cross-functional teams. Develop and maintain technical documentation, support UAT/Production releases, and resolve incidents within defined SLAs. Provide support and enhancements to existing SAS BI applications and ensure timely delivery of reports and analytics.
 

Required Skills and Qualifications:

Primary skills

SAS Base, SAS Advanced, SAS Macros SQL (Teradata, Oracle) Power BI UNIX Shell Scripting DevOps Tools: Git, Jenkins, Bitbucket Data Modeling: Star & Snowflake schemas Qualification: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

 

Domain Expertise

Banking & Financial Services

Credit Risk (Basel III, IFRS9, RWA Calculations) Fraud Detection & Alerts Management Campaign Management (Normative, Commercial, Informative)
 

Soft Skills & Additional Strengths

Strong analytical and problem-solving abilities Effective communication and documentation skills Quick learner and adaptive to emerging technologies Proven track record of automation, process optimization, and cross-team collaboration