SAS Fresher

Job Description: SAS Fresher for BFSI Domain(Global SAS Certification Must)

Position Overview: As a SAS Fresher in the BFSI (Banking, Financial Services, and Insurance) domain, you will be responsible for utilizing SAS (Statistical Analysis System) tools and techniques to analyze and interpret data, create reports, and support decision-making processes within the BFSI industry. You will work closely with the data analytics team to understand business requirements and deliver effective solutions using SAS.

Key Responsibilities:

1. Data Analysis: Perform data analysis using SAS tools and techniques to extract insights, identify trends, and uncover patterns within the BFSI domain.
2. Report Generation: Develop and generate reports and dashboards to present data findings, performance metrics, and key indicators to stakeholders.
3. Statistical Modeling: Build statistical models using SAS to support forecasting, risk assessment, fraud detection, and other business needs within the BFSI domain.
4. Data Manipulation: Manipulate and transform large datasets using SAS programming techniques to clean, merge, and structure data for analysis.
5. Data Visualization: Create visual representations of data using SAS Visual Analytics or other relevant tools to facilitate easy understanding and decision-making.
6. Collaborate with Stakeholders: Work closely with business analysts, data scientists, and other stakeholders to understand their requirements, provide insights, and deliver high-quality solutions.
7. Quality Assurance: Conduct data quality checks, perform validation tests, and ensure accuracy and consistency in the data analysis process.
8. Documentation: Maintain comprehensive documentation of data analysis processes, methodologies, and results to ensure reproducibility and knowledge sharing.
9. Stay Updated: Keep abreast of the latest developments and advancements in SAS tools and techniques, as well as BFSI industry trends, regulations, and best practices.

Required Skills and Qualifications:

1. Educational Background: A bachelor's or master's degree in a relevant field such as computer science, statistics, mathematics, economics, or finance.
2. SAS Proficiency: Strong knowledge of SAS programming language and experience with SAS tools such as SAS Base, SAS Visual Analytics, SAS Enterprise Miner, and SAS Data Integration Studio.
3. Data Analysis Skills: Familiarity with data analysis techniques, statistical modeling, and data manipulation using SAS.
4. BFSI Domain Knowledge: Understanding of the banking, financial services, and insurance industry, including key concepts, terminology, and business processes.
5. Problem-Solving Abilities: Analytical mindset with the ability to identify problems, propose solutions, and make data-driven decisions.
6. Communication Skills: Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders.
7. Attention to Detail: Strong attention to detail to ensure accuracy and reliability in data analysis and reporting.
8. Time Management: Ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously.
9. Team Player: Willingness to work in a team-oriented environment, share knowledge, and contribute to the success of the team.