Data Analytics Role

JPMorgan Chase’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL queries, Python data‑manipulation scenarios, and case‑based problem solving. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should practice data‑centric coding questions and be ready to discuss past projects with clear business impact.

JPMorgan Chase promotes a collaborative and inclusive work culture where continuous learning is encouraged. Employees enjoy structured career growth, mentorship programs, and a balance between challenging projects and personal well‑being.

Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, Finance or related field; minimum 60% aggregate; graduating batch 2024‑2026; no active backlogs; strong analytical mindset and willingness to work in a fast‑paced banking environment.

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical Interview (SQL/Python case study) → Round 3: HR Interview (fit & behavioural assessment)

JPMorgan Chase, a 200‑year‑old global financial services powerhouse, operates across investment banking, consumer banking, commercial banking, payments, and asset management. In India, the firm has built a strong presence by blending cutting‑edge technology with deep financial expertise, offering career pathways that span analytics, engineering, risk, and product development. The company prides itself on a culture of inclusion, continuous learning, and a commitment to delivering innovative solutions to millions of customers worldwide. The Consumer & Community Banking (CCB) division focuses on serving Chase’s retail customers with products such as credit cards, mortgages, auto loans, and digital banking services. Within CCB, the Data & Analytics team acts as the analytical backbone, turning massive data streams into actionable insights that drive branch performance, cost optimization, and strategic decision‑making. As a Quant Analytics Analyst, you will be part of this high‑impact team, working closely with finance partners and technology stakeholders to ensure data integrity and deliver timely, accurate reporting. **Role Summary** You will be responsible for extracting, transforming, and validating branch network and occupancy cost data from legacy systems and Databricks. Your work will enable finance teams to monitor performance, reconcile discrepancies, and make data‑driven decisions. You will also contribute to the creation of dashboards and visualizations, ensuring that insights are accessible to non‑technical stakeholders. **Key Responsibilities** 1. Gather, extract, and cleanse branch performance and occupancy cost data from legacy sources and Databricks. 2. Develop and maintain robust SQL queries and Python workflows for recurring reports and ad‑hoc analysis. 3. Document data definitions, business rules, and source‑to‑target mappings to support legacy‑to‑Databricks migration. 4. Perform reconciliations between legacy outputs and new datasets, investigating variances and tracking resolutions. 5. Translate finance partners' questions into clear analytical requirements and deliver explainable results. 6. Build and maintain dashboards (e.g., ThoughtSpot) to visualize key performance indicators. 7. Implement data governance controls, validation checks, and change‑traceability mechanisms. 8. Identify opportunities to automate manual reporting processes and improve efficiency. 9. Collaborate with cross‑functional teams to ensure data quality and consistency across the organization. 10. Stay updated on emerging analytics tools and best practices to continuously enhance the analytics stack. **Tech Stack**: SQL, Python (pandas, NumPy), Databricks, ThoughtSpot, Microsoft Excel, Intelligent Automation tools, Git for version control. **Growth Path**: Successful analysts can progress to Senior Analyst, Data Engineer, or Analytics Manager roles, eventually moving into leadership positions within the CCB analytics hierarchy or broader JPMorgan data science tracks. **Why Join JPMorgan Chase?** The firm offers a globally recognized brand, exposure to large‑scale financial data, mentorship from industry veterans, and a clear career progression framework. Employees benefit from competitive compensation, comprehensive learning programs, and a collaborative environment that encourages innovation and diversity.