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🏢 KPMG India
Data Analyst
💼 Fulltime
📍 Gurugram / Bengaluru
🔗 Explore More
🛠 Skills Required
SQL
Excel
Python
Power BI
Tableau
Data Analysis
Data Visualization
Communication Skills
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🎤 Interview Experience
KPMG India's interview process typically starts with an online aptitude test, followed by a technical interview focusing on SQL queries, data manipulation in Python and case‑study discussions. The final HR round assesses cultural fit, communication skills and career aspirations. Candidates report a moderate difficulty level, with an emphasis on logical reasoning and practical data‑analysis scenarios; thorough preparation of core concepts and mock presentations is highly beneficial.
🏢 Work Culture
KPMG India promotes a collaborative and inclusive work culture where learning is encouraged through regular training sessions and mentorship programs. Employees enjoy a balanced work‑life environment with flexible timings and opportunities for internal mobility across service lines.
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📚 Free Study Materials (4)
KPMG Placement Papers – Data Analyst
Compilation of previous KPMG placement questions helps you understand the type of problems and analytical thinking expected.
Open Resource ↗
KPMG Recruitment Process Insights
Detailed experiences from candidates provide a roadmap of each interview round and tips to prepare effectively.
Open Resource ↗
Data Analyst Interview Preparation Guide
Covers core concepts, sample questions and project ideas that align with KPMG's data analyst expectations.
Open Resource ↗
Algorithm Practice Problems
A broad set of coding challenges to sharpen problem‑solving skills essential for technical interviews.
Open Resource ↗
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✅ Eligibility Criteria
Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, BCA, B.Tech or related field; minimum 60% aggregate (or CGPA 6.0/10); graduates of 2022, 2023 or 2024 batches; no active backlogs at the time of joining; strong academic record in quantitative subjects is preferred.
🏆 Selection Process
Round 1: Online aptitude test (logical reasoning, quantitative & verbal) → Round 2: Technical interview (SQL, Python, case study) → Round 3: HR interview (fitment, communication, career goals)
🔔 Apply before 31 Aug 2026 — 45 days remaining
📋 About the Role
KPMG India is one of the leading professional services firms in the country, offering audit, tax, advisory and consulting services to a diverse portfolio of clients ranging from start‑ups to Fortune 500 companies. With a strong emphasis on innovation, data‑driven decision making and sustainability, KPMG has built a reputation for delivering high‑impact solutions that shape business strategies across sectors such as finance, technology, healthcare and manufacturing. The firm’s Indian operations span major metros, including Gurugram and Bengaluru, and provide a collaborative environment where fresh talent can work alongside seasoned industry experts.
The Data Analyst role at KPMG India is designed for recent graduates and early‑career professionals who are eager to translate raw data into actionable insights. As a member of the analytics team, you will support multiple business units by extracting, cleaning, and visualising data, enabling stakeholders to make informed decisions. You will be exposed to real‑world projects that involve financial reporting, market trend analysis, and operational efficiency studies, giving you a holistic view of how data powers strategic initiatives.
Key responsibilities include:
1. Extracting data from relational databases using SQL and performing complex queries.
2. Cleaning, validating and transforming data to ensure accuracy and consistency.
3. Conducting exploratory data analysis to uncover patterns, anomalies and opportunities.
4. Building interactive dashboards and visualisations using Power BI or Tableau for senior leadership.
5. Preparing concise analytical reports and presenting findings to cross‑functional teams.
6. Collaborating with business analysts, consultants and domain experts to define data requirements.
7. Automating repetitive reporting tasks through Python scripting.
8. Monitoring data pipelines and suggesting improvements for data quality.
9. Assisting in the development of predictive models and statistical analyses where required.
10. Keeping abreast of emerging analytics tools and best practices to continuously enhance delivery.
Tech stack: SQL, Python (pandas, numpy), Excel, Power BI/Tableau, basic statistics, Git for version control.
Growth path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Consultant, and eventually to Manager or Director of Analytics, with opportunities to specialise in areas such as risk analytics, financial modelling or data engineering.
Why join KPMG? The firm offers a structured learning environment, mentorship from industry veterans, and exposure to global best practices. Employees benefit from a robust training ecosystem, competitive compensation, and a culture that values diversity, ethical conduct and work‑life balance. Joining KPMG means being part of a forward‑thinking organisation where your analytical skills directly influence business outcomes and your career trajectory is supported by clear, merit‑based advancement pathways.
🔔 Apply before 31 Aug 2026 — 45 days remaining
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📋 Quick Info
JOB ID
C1508-J003
POSTED
11h ago
TYPE
Fulltime
BATCH
All Batches
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