Data Analyst - IRIS Business Services Ltd

IRIS RegTech Solutions Limited (formerly IRIS Business Services Limited) is India’s only listed RegTech SaaS provider, pioneering technology-driven regulatory and supervisory compliance solutions worldwide. Headquartered in Mumbai with subsidiaries across the U.S., Singapore, Malaysia, and Italy, IRIS serves over 30 regulators and 6,500 enterprises in 55 countries. The company is an active member of XBRL jurisdictions, including XBRL International, XBRL India, XBRL Europe, XBRL South Africa, and XBRL US. Recognized globally for its award-winning SupTech, RegTech, and DataTech platforms - including IRIS iFile, IRIS iDEAL®, IRIS CARBON®, and IRIS MSME - IRIS helps banking and financial sector regulators digitize supervision and enterprises and achieve seamless financial and ESG reporting.

IRIS’ products are XII certified, ISO 27001:13 and SSAE 18 (SOC 1 Type 2) certified, ensuring industry leading security and reliability. Combined with deep expertise in XBRL, AI, and ML, IRIS delivers robust, high-quality regulatory data infrastructure that enhances transparency, strengthens governance, and supports sustainable growth across the financial ecosystem.

To read more about IRIS visit our website: www.irisregtech.com

Job Role: Data & Insight Analyst

Work Location: Vashi, Navi Mumbai (Work from office)

Experience: 2 - 4 Years

Job Type: Full - time

Role Overview:

We are building a data-driven digital ecosystem for Micro, Small & Medium Enterprises enabling access to compliance, credit, schemes, and market opportunities through one connected platform.

We are looking for a Data & Insights Analyst who can work with raw, unstructured, and evolving data and turn it into meaningful insights.

This role requires someone who does not wait for clean inputs or clearly defined problems, but can independently work across data sources, structure information, and derive insights that drive decisions.

You will work closely with product, growth, and leadership teams to help build a data-driven platforms, especially in areas like user behaviour, lending, and ecosystem insights.

Key Responsibilities:

1. Work with Diverse & Raw Data

• Handle data from multiple sources such as:
• Application databases
• Financial and GST datasets, partner and lender data
• User behaviour and marketing data
• Clean, structure, and prepare data for analysis
• Build processes to improve data consistency and usability

2. Data Processing & Analysis

• Analyse datasets to identify patterns, trends, and anomalies
• Be comfortable working across tools and approaches based on the problem
• Translate raw data into structured outputs that can be used by teams

3. Insight Generation (Beyond Reporting)

• Analyse user journeys and business funnels
• Identify drop-offs, inefficiencies, and opportunities