Tech Data Analyst - Dubai

• 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
• 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

• Credit Risk (Basel III, IFRS9, RWA Calculations)
• 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

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