Senior Data Analyst_SAS & SQL_Bangalore

Anlage Infotech; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Anlage Infotech is seeking a Senior Data Analyst in Bengaluru to lead advanced analytics initiatives using SAS and SQL. The ideal candidate has 7–10 years of experience, handles large enterprise datasets, and collaborates with business stakeholders to deliver actionable insights.

The role focuses on building robust analytics solutions, presenting findings to executives, and mentoring junior analysts while driving data-driven decision making across the organization.

Qualifications

• 7–10 years of data analytics experience.
• Expertise in SAS and SQL.
• Experience with large enterprise datasets and stakeholder collaboration.
• Strong communication and presentation skills.

Responsibilities

• Lead complex data analysis projects using SAS and SQL.
• Design and optimize SAS programs and SQL scripts for large-scale data processing.
• Perform data profiling, validation, reconciliation, and quality assessments.
• Translate business requirements into analytical solutions and actionable insights.
• Build reports, dashboards, and executive presentations.
• Mentor junior analysts and support best practices in analytics and reporting.
• Collaborate with business, technology, and leadership teams to drive data-driven decisions.

Skills

SAS

SQL

Analytical thinking

Stakeholder management

Communication

Excel proficiency

Tools

Power BI

Tableau

Jira

Confluence

Excel

Job description

Senior Data Analyst SAS & SQL | Bangalore

Location: Bangalore

Experience: 7-10 Years

Joining Preference: Immediate Joiners / Candidates serving up to 30 days' notice

Job Overview

We are seeking an experienced Senior Data Analyst with strong expertise in SAS and SQL to drive advanced analytics, business insights, and strategic decision-making. The ideal candidate should have experience working with large enterprise datasets and collaborating with business stakeholders to deliver actionable recommendations.

Key Responsibilities

• Lead complex data analysis projects using SAS and SQL.
• Design and optimize SAS programs and SQL scripts for large-scale data processing.
• Perform data profiling, validation, reconciliation, and quality assessments.
• Translate business requirements into analytical solutions and actionable insights.
• Build reports, dashboards, and executive presentations.
• Mentor junior analysts and support best practices in analytics and reporting.
• Collaborate with business, technology, and leadership teams to drive data-driven decisions.

Required Skills

• Advanced hands-on expertise in SAS and SQL.
• Strong analytical, statistical, and problem-solving capabilities.
• Experience with large-scale data analysis and reporting.
• Excellent stakeholder management and communication skills.
• Proficiency in MS Excel and PowerPoint.
• Exposure to Python, PySpark, Machine Learning, Cloud platforms, Power BI/Tableau, or Jira/Confluence will be an added advantage.

Preferred Domain

• Banking
• Financial Services
• Fraud Analytics
• Risk Analytics
• Customer Analytics