Data Analyst - SAS

Lead end-to-end design, development, deployment, and support of scalable data engineering, analytics, and BI solutions with ownership of high-quality and maintainable data products.

Optimize ETL processes, data platforms, and system performance ensuring operational excellence, proactive monitoring, incident resolution, and enforcement of data governance, quality, security, and compliance.

Collaborate with business and tech stakeholders to deliver strategic solutions, lead cross-functional initiatives, and drive innovation using AI/ML, Generative AI, predictive analytics, and automation to enhance efficiency and business value.

Bachelor's or higher degree in Operational Research, Business Analytics, Applied Mathematics/Statistics, or related quantitative field.

Minimum 3+ years experience with SAS (Advanced SAS, SAS Macros), SQL, Teradata, data visualization/BI reporting (Tableau or others), and quality analysis and automation.

Hands-on experience with ETL processes, Unix shell scripting, stored procedures, machine learning, predictive analytics, anomaly detection, cloud data platforms (Azure, AWS, or GCP), and data warehousing technologies (Teradata, Snowflake).

Experience with GitHub, Airflow, Docker containerization, Python/PySpark, Microsoft Excel, and PowerPoint. Work Experience Required: 3+ years relevant experience explicitly mentioned.

Experienced in managing full lifecycle development and production support of complex data and analytics solutions in fast-paced environments.

Strong technical capability across SAS, SQL, Teradata, BI tools, cloud platforms, and modern AI/ML technologies, indicating a blend of data engineering and advanced analytics expertise.

Able to lead cross-functional initiatives and translate business requirements into scalable technical solutions with measurable operational improvements and innovation adoption.