Data Analyst – Banking Domain (PySpark / SQL)

Location: Gurugram / Bengaluru / Pune · Hybrid · Full-time

Are you a seasoned Data Analyst with strong PySpark skills and a passion for banking analytics? Do you aspire to work in a global-grade professional services environment, collaborating with cross-functional teams to leverage data for strategic decision-making? If yes — KPMG India is looking for you.

🌟 About KPMG India

KPMG India is part of the global network of KPMG member firms, offering top-tier professional services to national and international clients across sectors. Since its inception in August 1993, KPMG India has built a reputation for combining deep local industry knowledge with global best practices and technology-enabled solutions. With offices in major cities including Gurugram, Bengaluru, Pune, Hyderabad, Mumbai, Kolkata, Chennai and many more — we pride ourselves on offering a collaborative, inclusive, and growth-oriented work environment.

At KPMG India, we believe in empowering our talent to deliver performance-based, industry-focused solutions and helping businesses transform through data-driven insights.

📊 Role Overview

As a Data Analyst in our Banking vertical, you will play a pivotal role in harnessing large-scale data, building robust data pipelines, and delivering actionable insights for banking operations, risk analysis, customer analytics, and regulatory compliance. You will collaborate closely with stakeholders from Data, Product, Design, and Executive teams to support data infrastructure needs and drive meaningful business outcomes.

This is a full-time, hybrid role, with primary location in Gurugram — with opportunities to work from Bengaluru or Pune, depending on candidate preference and business requirements.

✅ What You’ll Do — Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using PySpark and related data processing tools.

• Write complex and efficient SQL queries to extract, transform, and load data from multiple sources, including relational databases and data lakes.

• Implement data models, design schemas, and optimize data storage and retrieval to support high-performance analytics.

• Perform data normalization and denormalization to enforce data integrity and improve query performance.

• Collaborate with data engineers to centralise and manage data assets, enabling a unified data ecosystem across banking domains.

• Conduct data validation, cleansing, and quality checks to ensure accuracy, consistency, and reliability.

• Build analytical tools and dashboards that surface key performance indicators (KPIs) — such as operational efficiency, customer acquisition, loan performance, credit risk metrics, and fraud detection signals.

• Work with stakeholders from product, design, and executive teams to understand technical data challenges and deliver solutions that meet business needs.

• Stay current with industry trends, data technologies, regulatory requirements, and best practices to enhance data processes and analytics capabilities.

🧰 What We’re Looking For — Required Skills & Experience

• Minimum of 4+ years of professional experience working with PySpark for large-scale data processing and analytics.

• Strong proficiency in SQL — experienced in writing advanced queries for data retrieval, transformation, and integration.

• Solid understanding of data modelling, including schema design, normalization/denormalization, cardinality management, and data warehousing best practices.

• Familiarity with the Hadoop ecosystem or similar big data frameworks — preferred, though not mandatory.

• Familiarity with data engineering concepts, ETL processes, and data pipeline orchestration workflows.

• Understanding of data centralization, data quality principles, and good data governance practices.

• Exposure to CI/CD pipelines or related automation practices for data deployment and management — a plus.

• Ability to analyse large banking datasets — including customer transactions, loan records, credit data — and derive actionable insights that support credit risk assessment, fraud detection, customer analytics, and regulatory compliance.

• Excellent collaboration and communication skills — able to work across teams (Design, Product, Data, Executive) to understand requirements, articulate technical solutions, and deliver on time.

🎯 Why Join KPMG India — What We Offer

• Opportunity to work with a global professional services leader in a fast-growing, dynamic banking analytics domain.

• Exposure to high-impact projects across retail banking, corporate banking, risk analytics, transaction monitoring, credit risk assessment, fraud detection, and more.

• A learning-rich environment where you stay updated with global data analytics standards, technology innovations, and regulatory frameworks in banking.

• Collaborative, cross-functional teams — data engineers, analysts, product managers, business stakeholders — giving you visibility and influence across the organization.

• Hybrid working model offering flexibility: a balance between office presence and remote work.

• Inclusive and equitable workplace culture — KPMG India is committed to equal opportunity, regardless of colour, caste, religion, age, gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status.

📥 How to Apply

If you meet the above criteria and are ready to take on a challenging yet rewarding role, we’d love to hear from you. Please submit:

1. Your updated resume highlighting your experience with PySpark, SQL, and relevant data engineering/analytics work.

2. A brief cover letter (optional but encouraged) outlining your past experience in banking analytics or related domains.

3. Any relevant work sample or project that demonstrates your data analytics or pipeline-building capabilities — especially those related to large datasets or financial/banking data.

Click on “Apply Now” or email your application to [recruitment@kpmg.in] with the subject line: “Data Analyst – Banking (PySpark / SQL)”. Our talent acquisition team will review your profile and reach out to you if there’s a match.

We are excited to review your application and potentially welcome you to our diverse and talented team.

Join KPMG India — where data meets banking. Let’s transform financial services together through powerful analytics.