Data Analyst

KPMG’s interview process typically begins with an online aptitude test assessing logical reasoning and quantitative ability, followed by a technical interview that probes your SQL, Python, and Power BI knowledge through problem‑solving and case‑study discussions. The final HR round evaluates cultural fit, communication skills, and career aspirations. Candidates report a moderate difficulty level with an emphasis on practical data‑analysis scenarios.

KPMG India fosters a collaborative environment where learning is continuous and employees are encouraged to voice ideas. The firm emphasizes work‑life balance through flexible hybrid models and provides clear growth pathways with regular performance reviews.

B.Tech / B.E. in Computer Science, Information Technology or related engineering streams; minimum 60% aggregate (or CGPA 6.0/10); final year students or recent graduates (2022‑2026); no active backlogs at the time of joining; strong academic record in quantitative subjects.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL, Python, Power BI, case study) → Round 3: HR Interview (fitment, communication, career goals)

KPMG India is one of the leading professional services firms in the country, offering audit, tax, advisory and consulting services across a wide range of industries. With a strong emphasis on innovation, KPMG has built a robust analytics practice that helps clients transform data into actionable insights. The firm’s culture promotes continuous learning, diversity, and inclusion, and it consistently ranks among the top employers for fresh graduates in India. As a Data Analyst in the Data Science & Analytics department, you will be part of a dynamic team that works closely with consultants, managers, and senior leaders to drive data‑centric decision making. The role is hybrid, allowing you to work from KPMG’s modern offices in Gurugram (DLF City) and Bengaluru (Bellandur) while also leveraging flexible remote days. You will get exposure to large‑scale projects across sectors such as finance, retail, and technology, gaining hands‑on experience with industry‑standard tools. **Key Responsibilities** 1. Collaborate with cross‑functional teams to understand business requirements and translate them into analytical 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 metrics. 4. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 5. Ensure data accuracy, integrity, and compliance with security standards. 6. Document analytical processes, data dictionaries, and visualisation guidelines. 7. Support senior analysts and managers in preparing client‑facing presentations. 8. Participate in data governance initiatives and suggest improvements to data pipelines. 9. Stay updated with emerging analytics tools and best practices, sharing knowledge within the team. 10. Contribute to continuous improvement of the analytics framework and automation scripts. **Tech Stack**: Power BI, SQL (MySQL/SQL Server), Python (pandas, numpy, matplotlib/seaborn), Excel, Git for version control, and basic knowledge of cloud platforms (AWS/GCP) is advantageous. **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Manager, and eventually to Director of Analytics, with opportunities to lead large‑scale transformation projects and mentor junior talent. **Why Join KPMG**: The firm offers a structured learning environment, access to world‑class training programs, and a clear career progression roadmap. Freshers benefit from mentorship, exposure to real‑world client problems, and a supportive, inclusive culture that values diversity and work‑life balance. This role provides a solid foundation for a long‑term career in data analytics and consulting.