Data Analyst

About IRIS:

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 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

Provide clear, actionable insights to product and growth teams

4. Data Management & Documentation

Maintain clear documentation of:

Data sources, transformations and assumptions

Definitions of key metrics

Ensure data used across teams is reliable and well understood

5. Support Decision-Making & Experiments

Work with teams to evaluate impact of features, campaigns, and initiatives

Support decision-making with data-backed inputs

Bring a questioning mindset to all analysis

What We’re Looking For:

Core Capabilities

Ability to work with raw, messy, and incomplete data

Strong analytical and problem-solving mindset

Ability to structure data and derive meaningful insights

Comfort working with large and evolving datasets

Ability to learn and use relevant tools or techniques as needed

Strong attention to detail and data accuracy

Working Style & Mindset (Critical)

Curiosity-driven: asks “why” behind the numbers

Self-driven: does not wait for perfectly defined problems

Ownership mindset: takes responsibility from data to insight

Clarity of thought: can simplify complex information

Enthusiasm to learn: open to new tools, datasets, and domains

Tools & Technical Exposure (Flexible)

Experience with any data tools, programming languages, or analytics platforms is useful

We are not looking for expertise in specific tools - the ability to adapt and solve problems using the right approach is more important

Experience & Background

2 - 4 years of experience in data analysis, analytics, or similar roles

Background in fintech, SaaS, or data-heavy environments is a plus

Strong academic or problem-solving background is valued

Candidates who can demonstrate past work (projects, analyses, or case studies) will be preferred

Educational Background

Bachelor’s degree in any discipline with strong analytical exposure (e.g., Engineering, Mathematics, Statistics, Economics, Commerce, or similar)

Strong problem-solving ability and hands-on data experience are more important than specific degrees

Awards won by IRIS:

Won recognition as Indias best Fintech at the Financial Express Best Banks Awards. an award that was presented to our CEO by Smt Nirmala Sitharaman, Finance Minister, Govt of India.

IRIS has been selected as the Best Tax Technology Service Provider 2022 in category National Taxation Awards at the prestigious TIOL Awards.

IRIS CARBON has won The Most Agile/Responsive SaaS Solution of the Year award at the 2022 SaaS Awards by Awarding and Consultancy International.