Data Analyst

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

API 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