Data Analyst

KPMG’s interview process typically starts with an online aptitude test focusing on logical reasoning and quantitative ability. Successful candidates move to a technical interview where they are assessed on SQL queries, Python scripting, and Power BI dashboard creation, often through a case‑study discussion. The final HR round evaluates cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation of data‑analysis fundamentals and clear articulation of past projects are key.

KPMG promotes a collaborative and inclusive work culture where learning is encouraged through regular training sessions and mentorship. Employees enjoy a balanced work‑life environment with flexible working hours and opportunities for remote work, while still being challenged by high‑impact client projects.

Graduates with a B.Tech / B.E. in Computer Science and Engineering (CSE) or Information Technology. Minimum aggregate of 60% (or CGPA 6.0/10). Open to batches graduating in 2025 or 2026. No active backlogs at the time of joining. Candidates must have a strong foundation in SQL, Python, and data visualization concepts.

Round 1: Online Aptitude Test (Logical Reasoning, Numerical Ability) → Round 2: Technical Interview (SQL, Python, Power BI concepts, case study) → Round 3: HR Interview (fitment, motivation, behavioral questions)

KPMG is one of the world’s leading professional services firms, offering audit, tax, and advisory services to a diverse set of clients across industries. With a strong presence in India, KPMG has built a reputation for delivering high‑impact solutions, fostering a culture of continuous learning, and investing heavily in technology and analytics. The firm’s commitment to innovation is evident through its data‑driven consulting practice, where teams leverage cutting‑edge tools to help clients transform their businesses. As a fresh graduate, joining KPMG means you will be part of a global network that values integrity, collaboration, and professional growth. The Data Analyst role within KPMG’s Data Science & Analytics department is designed for fresh talent eager to apply analytical thinking to real‑world business problems. You will work closely with consultants, managers, and senior analysts to turn raw data into actionable insights that drive strategic decisions. This position offers exposure to a variety of industries, including finance, healthcare, and retail, allowing you to build a versatile skill set while contributing to high‑visibility projects. Key Responsibilities: 1. Collaborate with cross‑functional teams to understand project objectives and deliver data‑centric solutions. 2. Extract, clean, and transform data from multiple sources using SQL and Python. 3. Design and develop interactive dashboards and reports in Power BI to visualize key performance indicators. 4. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 5. Ensure data accuracy, consistency, and compliance with security standards. 6. Document data pipelines, methodologies, and findings for stakeholder consumption. 7. Support the creation of predictive models and statistical analyses as required. 8. Participate in regular knowledge‑sharing sessions and contribute to best‑practice repositories. 9. Assist in automating repetitive data tasks to improve efficiency. 10. Stay updated with emerging analytics tools and techniques to continuously enhance delivery quality. Tech Stack: Power BI, SQL (MySQL, PostgreSQL), Python (pandas, NumPy, matplotlib), Excel, Git, and basic knowledge of cloud platforms (AWS/GCP) for data storage. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Analytics Consultant, and eventually to Manager or Director roles within the Analytics practice. KPMG provides structured learning programs, certifications, and mentorship to accelerate career advancement. Why Join KPMG: The firm offers a vibrant work environment that blends rigorous analytical challenges with a supportive culture. Freshers receive comprehensive onboarding, access to world‑class training resources, and the chance to work on projects that have a tangible impact on leading enterprises. Competitive salary ranges (4‑9 LPA), performance‑linked bonuses, and a clear promotion framework make KPMG an attractive launchpad for a career in data analytics.