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Senior Data Analyst

Crossfire Consulting

Senior Data Analyst
Location: New York, NY
Work Setup: Hybrid
Contract Length: 1 year
Join a collaborative, data-driven organization where analytics supports high-impact business decisions. The Senior Data Analyst will use advanced SAS, SQL, reporting, and data visualization expertise to transform complex datasets into actionable insights.
Senior Data Analyst Responsibilities
  • Develop and maintain SAS programs for automated reporting and advanced statistical analysis.
  • Design and optimize complex SQL queries, stored procedures, views, and data interfaces.
  • Troubleshoot system issues, batch processing, application scheduling, and data workflows.
  • Build dashboards and reports that track KPIs, trends, and business performance.
  • Partner with stakeholders to translate business requirements into analytical solutions.
  • Validate data quality, perform data cleansing, and maintain technical documentation and data dictionaries.
  • Identify patterns and deliver recommendations that support strategic decision-making.
  • Mentor junior analysts on SAS and SQL development standards and best practices.
Senior Data Analyst Required Qualifications
  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
  • 5+ years of SAS programming experience , including Base SAS, SAS/STAT, macro development, PROC SQL, and data integration tools.
  • 5+ years of advanced SQL experience , including complex joins, window functions, stored procedures, performance tuning, and query optimization.
  • 3+ years of data visualization experience using Power BI, Tableau, or a comparable platform.
  • Experience working with SQL Server, Oracle, Linux, shell scripting, file systems, and scheduling tools.
  • Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
  • Ability to explain technical findings to non-technical stakeholders.
Senior Data Analyst Preferred Qualifications
  • Master's degree in a related field.
  • SAS or SQL certification.
  • Healthcare or financial services experience.
  • Knowledge of statistical modeling, machine learning, API development, or SAS Procurement Integrity.
  • Advanced Microsoft Excel skills.
Senior Data Analyst Benefits
This one-year contract offers hybrid work flexibility, professional development opportunities, a collaborative team environment, and the opportunity to contribute to impactful projects.
We look forward to reviewing your application!

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Vacancy posted 14 hours ago
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