Senior SAS & SQL Analytics Architect

Veriipro; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Veriipro is seeking a Senior SAS SQL Developer in New York to transform complex datasets into actionable insights. The role emphasizes SAS programming, SQL development, and data analytics while collaborating with cross-functional teams to deliver data-driven solutions.

The successful candidate will design dashboards, optimize data processes, and ensure data quality across reporting platforms, supporting business decision-making with reliable analytics.

Qualifications

• Proficient in SAS programming for automated reporting and statistical analysis.
• Strong SQL skills for large datasets and data transformation.
• Experience with data validation, quality assurance, and data cleansing.
• Ability to design dashboards and KPI reports for business stakeholders.
• Excellent communication and collaboration with cross-functional teams.

Responsibilities

• Develop, enhance, and maintain SAS programs for reporting and analysis.
• Create SAS stored procedures, views, and data processes for performance.
• Design and maintain data interfaces and reporting solutions.
• Troubleshoot batch processing issues and data challenges.
• Write complex SQL queries across multiple data sources.
• Analyze data to identify trends and insights for decision-making.
• Collaborate with stakeholders to translate requirements into analytical solutions.
• Develop and maintain dashboards and KPI tracking.
• Ensure data accuracy and quality through validation and cleansing.
• Maintain technical docs and data dictionaries.
• Provide mentorship on SAS and SQL best practices.

Skills

SAS programming

SQL development

Data analytics

Dashboard reporting

Job description

Veriipro is seeking a Senior SAS SQL Developer in New York to transform complex datasets into actionable insights. The role emphasizes SAS programming, SQL development, and data analytics while collaborating with cross-functional teams to deliver data-driven solutions.

The successful candidate will design dashboards, optimize data processes, and ensure data quality across reporting platforms, supporting business decision-making with reliable analytics.