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REQUIREMENT_ID_1349 • 3-DAY_ACTIVE_POLICY JD

Analyst

Company
Company KPMG
Type
Opportunity Type Internship
Salary
Stipend / Salary 4-6 LPA
Location
Location Gurugram, India
Posted Date
Posted Date Today
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communication analytical thinking attention to detail knowledge of CPE guidelines LMS administration MS Office Excel stakeholder management basic data handling
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Comprehensive placement paper collection Open Resource ↗
Provides previous KPMG placement questions to help candidates practice relevant problem‑solving scenarios.
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Interview experience and recruitment process guide Open Resource ↗
Offers insights into KPMG’s recruitment stages, typical questions and candidate experiences.
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Preparation resource for KPMG campus hiring Open Resource ↗
Covers key topics, mock tests and tips specifically curated for KPMG analyst roles.
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Algorithm practice problem set Open Resource ↗
Helps sharpen coding and logical reasoning skills that are often tested in KPMG aptitude rounds.

Graduates (B.Tech/B.E., B.Sc., B.Com, BBA) from any discipline with a minimum of 60% aggregate; final year students of the 2025 or 2026 batch are eligible. No active backlogs at the time of application. Candidates must possess strong communication skills in English and be willing to work in Gurugram office.

1
Round 1: Online aptitude test (logical reasoning, quantitative, verbal)
2
Round 2: Technical/Domain interview focusing on CPE processes, LMS usage and problem‑solving
3
Round 3: HR interview assessing cultural fit, motivation and career aspirations
KPMG is one of the world’s leading professional services firms, offering audit, tax, advisory and consulting services across more than 150 countries. In India, KPMG has built a strong reputation for delivering high‑impact solutions to Fortune‑500 clients, government bodies and emerging startups. The firm’s culture blends rigorous analytical standards with a collaborative, people‑first approach, encouraging fresh talent to grow quickly through exposure to real‑world business challenges. As part of its Learning & Development (L&D) practice, KPMG continuously invests in up‑skilling its workforce and clients, making the Analyst role a critical bridge between learning content and business value. The Analyst position is designed for recent graduates who are eager to start a career in professional services. The role focuses on operational administration of KPMG’s Continuing Professional Education (CPE) programs, ensuring that learning requests are processed efficiently and that credit allocation complies with NASBA and internal guidelines. You will interact with internal teams, external participants, and on‑shore leadership, gaining visibility into the firm’s knowledge‑management ecosystem. Key responsibilities include: 1. Daily assignment and management of Learning Requests submitted through the portal. 2. Reviewing course submissions for compliance with NASBA and KPMG CPE credit guidelines. 3. Determining and administering CPE credits in KPMG’s Learning Management System (LMS) for participants and instructors. 4. Creating and distributing certificates of attendance to KPMG clients when required. 5. Communicating with learners (both internal and external) throughout the learning lifecycle. 6. Coordinating with on‑shore team members and leadership to resolve queries and streamline processes. 7. Maintaining accurate records of credit allocations and participant data. 8. Assisting in the preparation of periodic compliance reports for internal audit. 9. Supporting the continuous improvement of LMS workflows and documentation. 10. Providing ad‑hoc support for special training initiatives and events. Tech stack: The role primarily uses KPMG’s proprietary LMS, Microsoft Office Suite (Excel, PowerPoint, Outlook), and basic data‑management tools. Familiarity with SQL or basic scripting can be advantageous for reporting tasks. Growth path: Analysts can progress to Senior Analyst, Associate, and eventually Manager within the Learning & Development or Advisory streams, benefitting from KPMG’s structured mentorship, rotational opportunities, and global exposure. Why join KPMG? You will start your career at a globally recognised firm that values continuous learning, offers clear promotion pathways, and provides a supportive environment where fresh ideas are welcomed. The exposure to high‑profile clients and cross‑functional projects equips you with skills that are highly transferable across industries.

KPMG — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

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COMPANY GUIDE 🎯
KPMG Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for KPMG and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

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Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (communication, analytical thinking, attention to detail, knowledge of CPE guidelines, LMS administration, MS Office, Excel, stakeholder management, basic data handling) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
KPMG Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join KPMG as a Analyst?
Preparation Tip: Highlight KPMG's market reputation, recent tech innovations, and how your skills in communication directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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