Demo

Hybrid Senior Data Analyst

Crossfire Consulting
New York, NY Full Time
POSTED ON 4/9/2025
AVAILABLE BEFORE 5/8/2025

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
  • 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

    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

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