Sr. Data Analyst- W2 only

Title: - Sr. Data Analyst -2330

Duration 12+ Mos.

of Openings: 1

Position Type: Contract Hybrid

Location- Manhattan, N.Y.

Probable Interview Process 1st. Video. 2nd -- On-Site Mandatory

Local Candidates - Utilities Experience Preferred

Remember to include the following with your submittal;

Effective immediately we will require the following statement with your submissions :

I have interviewed the attached candidate and in my opinion ( NAME) meets all the requirements within the job description , and (NAME) understands that the interview process is 1. Video, 2nd On-Site.

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 insightsa

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 solution