Job Title – Sr. Data Analyst -2117
Duration – 6+ Mos.
Location – NYC – ON Site- Hybrid
Interview – Video – On-Site
No Visa Restrictions
Local Candidates Only –
Attached Technical Analysis must be completed by candidate and accompany submittal
We are limited to the # of submittals to Con Ed. Please be sure you thoroughly interview your candidate prior to submission, and they have ALL the skills outlined in the job description
Sr. Data Analyst
JOB DESCRIPTION
Position Overview
We are seeking a Senior Data Analyst with strong SAS programming and SQL skills to transform complex data into actionable insights that drive business decisions
The ideal candidate will combine technical expertise with business acumen to deliver meaningful analysis and recommendations.
The ideal candidate will be detail-oriented, self-motivated, and passionate about using data to solve complex business problems.
Must be comfortable working both independently and as part of a cross-functional team.
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
TECHNICAL SKILLS
Must Have
• 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
• 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
Nice To Have
• 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
Aditya Mishra
Us IT Recruiter
Linkedin- www.linkedin.com/in/aditya-mishra-59466823b/
Email: aditya@anveta.com | 4694980325 Ext 408 |URL: http://www.anveta.com
Address: 1333 Corporate Drive, Suite #108 Irving, TX 75038, USA
ANVETA, Inc
From:
Aditya Mishra,
Anveta
aditya@anveta.com
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