Tech Data Analyst - Dubai
- دبي
- دائم
- دوام كامل
- 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.
- 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.
- 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
- Credit Risk (Basel III, IFRS9, RWA Calculations)
- Fraud Detection & Alerts Management
- Campaign Management (Normative, Commercial, Informative)
- 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