Website KPMG India

Make the Difference. KPMG in India including KPMG Global Services (KGS).

KPMG India | Full-Time | Remote Work Opportunity**

Are you an experienced Data Analyst looking for a remote opportunity with one of the world’s leading professional services firms? KPMG India is hiring skilled analytics professionals with strong expertise in PySpark, SQL, data modelling, and banking analytics for a fully remote role. If you are passionate about transforming raw data into scalable insights and want to work with global teams, this remote position is an exciting opportunity to grow your career.

About KPMG India

KPMG India is part of the prestigious KPMG global network, serving clients across industries and geographies. Since establishing in India in 1993, the firm has grown to deliver high-quality, technology-enabled services for businesses nationwide. KPMG India works across multiple domains including consulting, auditing, taxation, digital transformation, risk management, and analytics.

In this remote role, you will be part of a highly skilled data analytics team, working closely with experts from Data Engineering, Product, Design, and Business units. KPMG India fosters diversity, innovation, continuous learning, and equal opportunities for all employees regardless of gender, age, nationality, race, disability, or background.

Role Overview

As a Remote Data Analyst in the Banking domain, you will play a key role in building scalable data solutions and delivering high-impact insights for banking operations, risk modelling, customer behaviour analysis, and compliance-driven initiatives. You will work with large datasets, apply advanced data-processing techniques, and strengthen KPMG’s analytical capabilities across digital banking and financial operations.

This role is ideal for candidates who love solving complex data challenges, enjoy working in cloud environments, and want the freedom to work from anywhere while contributing to high-value projects.

Key Responsibilities

Data Engineering & Processing

  • Develop and maintain end-to-end data pipelines using PySpark and other big-data tools.

  • Write optimized SQL queries for ETL processes, data extraction, normalization, and transformation.

  • Implement data models and schema designs for efficient storage, retrieval, and analytics.

  • Ensure data quality, consistency, and accuracy through validation, cleansing, and automated checks.

Analytics & Insights

  • Work with large-scale banking data, including customer transactions, loan portfolios, financial risk metrics, and credit performance.

  • Build analytical tools and dashboards to surface key insights on customer behaviour, operational efficiency, credit risk, and fraud detection.

  • Support business teams with data-backed decisions on performance metrics, forecasting, and banking process improvements.

Collaboration & Problem Solving

  • Work remotely with stakeholders including product managers, data engineers, designers, and executives.

  • Translate business requirements into actionable data tasks and deliverables.

  • Address data-related challenges and contribute to the development of scalable, secure, and efficient data infrastructure.

Technology & Innovation

  • Stay updated with emerging technologies, banking regulations, and analytics best practices.

  • Participate in the improvement of internal tools, automation, and data workflows.

  • Support CI/CD pipelines for analytics deployment and automated data updates (good to have).

Required Skills & Qualifications

  • 4+ years of experience in Data Analytics or Data Engineering.

  • Strong hands-on experience with PySpark for distributed data processing.

  • Proficiency in SQL, including complex queries, optimization, and ETL operations.

  • Knowledge of data modelling principles: schemas, normalization, denormalization, and cardinality.

  • Familiarity with Hadoop ecosystem, cloud environments, or big data architectures (preferred).

  • Experience working with large datasets, preferably in the Banking or Financial Services domain.

  • Understanding of credit risk, fraud analytics, financial reporting, or customer behaviour analysis is a plus.

  • Ability to work independently in a remote environment while coordinating with cross-functional teams.

Why Work With KPMG India (Remote)?

  • 100% remote role with flexibility and a structured work culture.

  • Opportunity to collaborate with global and national teams across banking analytics.

  • Access to learning programs, certifications, and growth opportunities.

  • Work on high-impact projects shaping the future of financial analytics.

  • Inclusive and diverse work environment that values your expertise.

  • Competitive compensation and employee benefits.

How to Apply

If you’re ready to take the next step in your analytics career and want to work remotely with one of India’s top consulting firms, we’d love to hear from you.

Submit your application along with your updated resume and relevant project experience.
Include the subject line: “Remote Data Analyst – Banking | KPMG India”

Join KPMG India and be part of a team that blends innovation, analytics, and remote global collaboration to shape the future of banking intelligence.

Upload your CV/resume or any other relevant file. Max. file size: 2 GB.