Overview
Join to apply for the SAS Developer role at J&M Group.
Responsibilities
- Design and implement models such as predictive, regression, classification, time-series, and segmentation models.
- Use SAS to build, validate, and deploy models that are scalable and aligned with business goals.
- Write and optimize complex SAS programs (Data Step, PROC SQL, Macros) for ETL and data processing.
- Extract data from multiple sources including data warehouses, relational databases, and flat files.
- Use advanced SAS procedures (e.g., PROC GLM, PROC LOGISTIC, PROC ARIMA, PROC DMREG, PROC SQL, PROC REPORT) for analytics and reporting.
- Conduct exploratory data analysis (EDA) to uncover patterns, trends, and anomalies.
- Perform feature engineering to improve model accuracy and business relevance.
- Address data quality and preprocessing issues that impact modeling results.
- Use cross-validation and other techniques to ensure model robustness and generalization.
- Monitor model performance and recalibrate when necessary.
- Document modeling methodologies, assumptions, and validation results.
- Develop SAS-based reports and dashboards to track model KPIs and business metrics.
- Present analytical results to both technical and non-technical stakeholders.
- Work collaboratively with business analysts, data scientists, and IT teams to align on business goals.
- Participate in code reviews and contribute to SAS development standards.
- Maintain detailed documentation for SAS code, models, and data dictionaries.
- Follow coding standards and ensure high code maintainability and performance.
Required Skills & Experience
46 years of hands-on experience as a SAS Developer with statistical modeling expertise.Proficiency in SAS programming : Data Step, Macros, PROC SQL, and statistical procedures.Experience working with large, complex datasets from varied sources.Knowledge of modeling techniques such as regression, classification, segmentation, time series, etc.Solid understanding of data quality, data manipulation, and ETL processes.Strong analytical thinking and ability to translate complex data into business insights.Effective verbal and written communication skills.Desirable Skills
Familiarity with machine learning algorithms implemented in SAS.Experience with automated SAS reporting and visualization.Background in financial services, insurance, or retail analytics is a plus.Experience with model lifecycle management and deployment pipelines.Seniority level
Entry level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
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