SAS Analyst

Job Title: SAS Analyst (CPG/Retail Industry)

Location: Remote

Job Type: Multi Year Contract

Job Summary:

We are seeking a skilled SAS Analyst to join our team. The ideal candidate will have experience in the CPG or retail industry (not clinical) and expertise in SAS, Python, SQL, and statistical modeling. The role involves working with large datasets, building predictive models, and generating actionable insights to drive business decisions.

Key Responsibilities:

Develop, analyze, and optimize SAS-based analytics solutions for CPG/Retail data.

Design and implement predictive models, demand forecasting, and customer segmentation.

Use Python, SQL, and SAS to process, clean, and transform large datasets.

Develop dashboards and reports using Power BI/Tableau for data visualization.

Apply machine learning techniques to optimize pricing, promotions, and supply chain operations.

Collaborate with cross-functional teams to support business intelligence and data-driven decision-making.

Ensure data accuracy, compliance, and security within enterprise systems.

Work with cloud-based platforms (Azure, AWS, or GCP) for ETL and data pipeline automation.

Required Skills & Experience:

3-6 years of experience in SAS-based data analytics, preferably in CPG or retail.

Strong data science skills with expertise in SAS, Python, R, SQL.

Experience with projects on Pricing or Pricing optimization is preferred.

Experience in predictive modeling, clustering, and time series analysis.

Proficiency in data visualization tools like Power BI or Tableau.

Strong problem-solving skills and ability to handle large datasets efficiently.

If you are passionate about data-driven insights in the CPG/Retail industry and have strong SAS & data science expertise, we’d love to hear from you!