Sr. Data Analyst with strong skills in SAS and who has worked in SQL - must be local to NYC - hybrid - onsite 3 days Key Responsibilities
- Develop and maintain SAS programs for automated reporting and advanced statistical analysis
- Create and optimize SAS stored procedures and views for improved data accessibility
- Maintain and develop data interfaces
- Troubleshoot system and batch processing
- Design and execute complex SQL queries to extract, transform, and analyze large datasets from multiple sources
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions
- Build and maintain dashboards and reports to track key performance indicators and share business insights
- Identify trends and patterns in data to support strategic decision-making
- Document technical processes and maintain data dictionaries
- Validate data quality and implement data cleaning procedures
- Mentor junior analysts in SQL and SAS best practices
Required Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- 5+ years of experience in SAS programming to mine, alter, manage, retrieve, and combine data from a variety of sources and perform statistical analysis
- Proficient in SAS programming, including macro development and PROC SQL
- Proficient with SAS data integration and query tools
- 5+ years of advanced SQL skills including complex joins, window functions, and query optimization
- 3+ years of experience in data visualization and tools
- strong problem-solving and analytical thinking skills
- Excellent communication skills with ability to present technical concepts to non-technical audiences
Preferred Qualifications
- Master's degree in related field
- Knowledge of statistical modeling and machine learning concepts
- Healthcare or financial services industry experience
- Certifications in SAS or SQL
- Familiar with SAS Procurement Integrity solution
Technical Skills
- SAS: Base SAS, SAS/STAT, SAS Macro language, PROC SQL
- SQL: Complex querying, stored procedures, performance tuning
- Linux: shell scripting, process scheduling, application scheduling, basic peripheral devices, and file systems
- Database platforms: SQL Server, Oracle, or similar
- PI development
- Data visualization: Power BI, Tableau, or similar
- Microsoft Office Suite, especially Excel for data analysis
What We Offer
- Remote work flexibility
- Professional development opportunities
- Collaborative team environment
- Opportunity to work on impactful projects
- Opportunity to convert to a permanent position