Business Analyst - SQL with SAS, ML & Modeling

Role: Business Analyst
Experience: 59 years
Skills: SAS, SQL, Machine Learning, Statistical Modeling, Data Analysis

Job Description

We are looking for a Business Analyst with strong experience in SAS, SQL, data analytics, machine learning, and statistical modeling. The candidate will work closely with business and technical teams to translate business requirements into data-driven solutions and actionable insights.

Key Responsibilities

• Analyze business requirements and translate them into analytical and technical specifications.
• Perform data extraction, transformation, and analysis using SQL and SAS.
• Develop and validate statistical and machine learning models for business problems.
• Perform exploratory data analysis, feature engineering, segmentation, and predictive analysis.
• Build and evaluate models using techniques such as regression, classification, clustering, and forecasting.
• Interpret model results and communicate insights and recommendations to business stakeholders.
• Create reports, dashboards, and analytical presentations for management.
• Work with data scientists, engineers, and business stakeholders throughout the analytics lifecycle.
• Monitor model performance and support model validation and documentation.
• Identify trends, patterns, risks, and opportunities from large datasets.

Required Skills

• Strong SQL skills, including joins, subqueries, CTEs, window functions, and data aggregation.
• Hands-on experience with SAS, including SAS Base and SAS programming.
• Understanding of machine learning concepts and algorithms.
• Knowledge of statistical modeling and predictive analytics.
• Experience with data preparation, feature selection, model development, and model evaluation.
• Good understanding of statistics, probability, and hypothesis testing.
• Ability to convert business problems into analytical problems.
• Strong communication and stakeholder-management skills.

Good to Have

• Python/R for analytics and machine learning.
• Experience with SAS Enterprise Miner / SAS Viya.
• Knowledge of credit risk, fraud, customer analytics, marketing analytics, or financial services.
• Experience with Tableau, Power BI, or other visualization tools.
• Understanding of model validation, monitoring, and governance.