Data Analyst

The interview process typically consists of an online aptitude test followed by a technical interview focusing on SQL, Python, and data‑analysis case studies. The final HR round assesses cultural fit and motivation. Overall difficulty is moderate; thorough preparation of analytical concepts and clear communication of insights are key to success.

JPMorgan Chase promotes a performance‑driven yet supportive culture where learning and collaboration are encouraged. Employees enjoy a balanced work‑life schedule, regular upskilling programs, and clear growth opportunities within the global banking ecosystem.

Graduates (B.Tech/B.E., B.Sc., B.Com, MCA, or equivalent) from any branch with a minimum of 60% aggregate. Final year students can apply. No active backlogs at the time of joining. Candidates must be Indian citizens and eligible to work in India.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL/Python & case study) → Round 3: HR Interview (fitment and motivation)

JPMorgan Chase is a global financial services leader with a strong presence in India, especially in technology and analytics hubs like Bengaluru. The firm prides itself on innovation, risk management, and delivering world‑class banking solutions to millions of customers. Its Indian operations focus on building data‑driven products, supporting global markets, and fostering a collaborative culture that encourages continuous learning. Employees benefit from exposure to cutting‑edge financial technologies, mentorship from industry veterans, and a clear pathway for career advancement across the organization. The Data Analyst role is designed for fresh graduates who are eager to translate raw data into actionable insights for the bank’s operations and client services. As a Data Analyst, you will work closely with senior analysts, product owners, and compliance teams to monitor transaction patterns, support AML/KYC processes, and help improve operational efficiencies. The position offers a blend of analytical rigor, stakeholder interaction, and exposure to regulatory frameworks, making it an ideal launchpad for a career in financial analytics. Key Responsibilities: 1. Address escalated service issues promptly while maintaining high customer‑service standards. 2. Make independent, data‑driven decisions to solve business problems. 3. Support client onboarding by fulfilling AML and KYC requirements and conducting risk assessments. 4. Conduct thorough investigations to identify AML typologies and generate detailed reports. 5. Identify and propose process improvements to enhance operational efficiency. 6. Manage stakeholder relationships across banking, compliance, and technology teams. 7. Analyze transaction data to detect patterns, verify legitimacy, and flag suspicious activity. 8. Prepare dashboards and visualizations for senior management review. 9. Collaborate with IT to ensure data quality and integrity. 10. Stay updated with regulatory changes and incorporate them into analytical workflows. Tech Stack: SQL, Python (pandas, numpy), Tableau/PowerBI, Excel, basic knowledge of SAS or R, and familiarity with data warehousing concepts. The role also involves exposure to Oracle Cloud platforms used for data storage and processing. Growth Path: Successful analysts can progress to Senior Analyst, Analytics Lead, or specialize in Risk Analytics, Business Intelligence, or Data Engineering within JPMorgan Chase’s extensive analytics ecosystem. Why Join: The position offers a competitive 6 LPA package, mentorship from seasoned professionals, and the chance to work on real‑world financial data that impacts millions of customers. It also provides a structured learning environment, access to internal training modules, and a clear trajectory toward senior analytical roles.