Business Analyst - SQL with SAS, ML & Modeling

Khushboo; Bengaluru, Delhi, Mumbai; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Khushboo is seeking a Business Analyst in Bengaluru to translate business requirements into data-driven solutions. You will work with business and technical teams to analyze data, build ML and statistical models, and deliver actionable insights.

The role involves data extraction using SQL and SAS, feature engineering, model validation, and presenting results to management. Strong communication and stakeholder management are essential.

Qualifications

• Translate business requirements into analytical 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 regression, classification, clustering, and forecasting.

Responsibilities

• Analyse 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 to stakeholders.
• Create reports and dashboards for management.
• Collaborate with data scientists, engineers, and stakeholders throughout the analytics lifecycle.
• Monitor model performance and support validation and documentation.
• Identify trends, patterns, risks, and opportunities from large datasets.

Skills

SQL

SAS

Machine learning

Statistical modeling

Data preparation

Feature selection

Model development

Model evaluation

Statistics

Probability

Hypothesis testing

Communication

Stakeholder management

Tools

SAS Enterprise Miner

SAS Viya

Python

R

Tableau

Power BI

Job description

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.