Data Analyst

NEXUS CONSULTING SOLUTIONS; Delhi; On-site; INR 600,000 - 800,000; Full time

Job summary

A leading financial services company in Delhi seeks a Data Analyst for the Credit Team - Personal Loan Division. This role requires 3-4 years of relevant experience, focusing on data analytics, automation, and API-driven systems. Responsibilities include developing Python-based utilities, performing data analysis, and ensuring high standards of data quality. Candidates must maintain effective stakeholder communication and project timelines. This is a work-from-office role. Competitive package offered.

Qualifications

• 3 – 4 years of relevant experience in data analytics or related fields.

Responsibilities

• Develop and manage Python-based utilities and automation scripts.
• Design, build, and deploy APIs for data integration and automation.
• Perform data analysis on large datasets to extract insights.
• Lead automation initiatives to streamline workflows.
• Work in Linux/Docker-based environments for reliability.

Skills

SQL (working knowledge)

Education

B.E. / B.Tech in Computer Science, Information Technology, or related field

Job description

Overview

Job Title: Data Analyst – Credit Team (Personal Loan Division)

Employment Type: This is an off-roll position, and payroll will be managed by a leading staffing partner.

Work Mode: Work from Office (5 days a week)

About DMI Finance Pvt. Ltd.

DMI Finance Pvt. Ltd. is a leading NBFC offering innovative digital lending solutions. We leverage data-driven decision-making and technology to deliver seamless credit experiences. This role is part of the Credit Team – Personal Loan Division, focusing on data analytics, automation, and API-driven systems supporting credit operations and decisioning processes.

Qualifications

Experience Required: 3 – 4 years of relevant experience

Education: B.E. / B.Tech in Computer Science, Information Technology, or related field

Key Skills:

• SQL (working knowledge will be an added advantage)

Responsibilities

• Develop and manage Python-based utilities and automation scripts.
• Design, build, and deploy APIs for data integration and automation.
• Perform data analysis on large datasets to extract insights supporting credit decisioning.
• Lead and contribute to automation initiatives to streamline workflows and improve efficiency.
• Work in Linux/Docker-based environments, ensuring reliability and scalability.
• Deliver projects within defined timelines and ensure effective stakeholder communication and management.
• Maintain high standards of data quality, process accuracy, and system performance.
• Candidates are expected to ensure timely delivery of assigned projects, effective timeline management, and clear stakeholder communication to meet business objectives.