Data Analyst - Business Intelligence & Analytics

Sundaram Finance Limited; Chennai; On-site; INR 600,000 - 900,000; Full time

Job summary

Sundaram Finance Limited is seeking a Data Analyst to drive business intelligence, analytics, and dashboarding across Operations, Marketing, CRM, and Campaign analytics. The role emphasizes automation of reports, data validation, and communicating insights in business terms.

The candidate should have strong SQL, Power BI, and Advanced Excel skills; Python knowledge is a plus. This on-site Chennai role requires collaboration with cross-functional teams to transform data into actionable decisions.

Qualifications

• 2–5 years of experience in Data Analytics, MIS, Business Intelligence or Reporting.
• Hands-on experience with SQL and Power BI is essential.
• Experience in financial services, insurance, lending, CRM analytics or campaign analytics is an added advantage.

Responsibilities

• Support business intelligence, reporting automation and dashboarding.
• Convert data into actionable insights to support data-driven decisions.
• Collaborate with Operations, Business, Marketing, Product, Technology and Analytics teams to drive analytics initiatives.

Tools

SQL

Power BI

Advanced Excel

Python

Job description

Job Description

Data Analyst - Business Intelligence & Analytics

For Operations, Business Analytics, CRM, Campaign Analytics, Dashboarding and Automation Support

Job Title

Data Analyst - Business Intelligence & Analytics

Location

Head Office, Chennai

Experience

2 to 5 years in Data Analytics, MIS, Business Intelligence or Reporting

Role Purpose

We are looking for a highly analytical and business-oriented Data Analyst to support business intelligence, reporting automation, campaign analytics, CRM transformation, customer-level tracking and performance management initiatives. The role will work closely with Operations, Business, Marketing, Product, Technology and Analytics teams to convert data into actionable insights and support data-driven decision-making.

The ideal candidate should have strong hands-on exposure to SQL, Power BI and Advanced Excel, with working knowledge of Python preferred. The person should be able to understand business problems, extract and validate data, build dashboards, automate recurring reports, and communicate insights in a simple business-consumable manner.

Experience Requirement

• 2 to 5 years of experience in Data Analytics, MIS, Business Intelligence, Reporting or Data Analysis.
• Hands-on experience with SQL and Power BI is essential.
• Experience in financial services, insurance, lending, CRM analytics or campaign analytics will be an added advantage.

Candidate Profile Summary

The role is best suited for a person who is not limited to routine MIS preparation, but can think analytically, question data quality, understand business context, and convert raw data into decisions. The candidate should be comfortable working with large datasets, senior stakeholders and cross-functional teams, while also being hands-on enough to build dashboards, automate reports and prepare actionable business insights.

Nice-to-Have Capabilities

• Experience with CRM data, lead management systems or Work Queue Management platforms.
• Power BI DAX and data modeling exposure.
• Google BigQuery or cloud data platform exposure.
• Ability to prepare concise business notes and presentation-ready insights.
• Exposure to GenAI or AI productivity tools for documentation, analysis and reporting support.