SAS Analyst/Developer with Python  .

Sorry, this job was removed at 11:28 p.m. (CST) on Wednesday, Jan 08, 2025
Hiring Remotely in United States
Remote
Other
The Role

Job Opportunity: SAS Analyst/Developer with Python /Only U.S. Citizens and Green Card holders are eligible for this position
Locations: Irving, TX / Jacksonville, FL / Jersey City, NJ
Employment Type: Full-Time

Job Description:
We are seeking an experienced SAS Analyst/Developer with Python to join our team in one of our key locations. The ideal candidate will bring 8+ years of experience in SAS development, Python programming, and advanced data analytics. You will play a critical role in driving data-driven decisions and supporting analytical initiatives.

Key Responsibilities:

  • Develop and maintain SAS programs to support data analysis and reporting needs.
  • Leverage Python to build and automate data workflows, analytics, and visualizations.
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Perform data validation, cleansing, and integration to ensure data accuracy and integrity.
  • Optimize existing processes and identify areas for improvement in analytics and reporting.
  • Document solutions, processes, and methodologies for consistency and scalability.

Required Qualifications:

  • 8+ years of experience in SAS programming and analytics.
  • Proficiency in Python for data analysis, scripting, and automation.
  • Strong understanding of database concepts and experience with SQL.
  • Experience in data integration, transformation, and validation.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills and ability to work collaboratively in a team environment.

Preferred Skills:

  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of statistical modeling and machine learning techniques.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.

How to Apply:
If you meet the qualifications and are passionate about data and analytics, we would love to hear from you! Please send your updated resume to the provided address.

Note: This is a full-time opportunity with a competitive compensation package.


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