Analyst Data Governance & Mgmt

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview focusing on data governance, SQL/Python, and cloud concepts → Round 3: HR interview assessing cultural fit and career aspirations

American Express promotes a collaborative and inclusive work environment where employees are encouraged to innovate and take ownership of their projects. The firm offers structured learning programs, mentorship, and a healthy work‑life balance, especially with its hybrid model that blends office interaction with remote flexibility.

Candidates typically face a three‑stage process: an online aptitude test lasting 30‑45 minutes, followed by a technical interview that probes data‑governance concepts, SQL queries, and Python scripting. The final HR round evaluates cultural fit, communication skills, and long‑term career goals. Overall difficulty is moderate, with emphasis on analytical thinking and practical data knowledge.

Bachelor’s Degree in any discipline (Engineering, Science, Commerce, Arts, etc.) with a minimum aggregate of 60% (or CGPA 6.0/10). Eligible batch years: 2025, 2026, 2027. No active backlogs at the time of application. Must possess strong analytical abilities, effective communication skills, and a willingness to learn data‑governance concepts. Candidates with internships or projects related to data management, analytics, or cloud technologies are preferred.

American Express is a world‑renowned financial services firm that powers commerce for millions of consumers and businesses across the globe. With a legacy of over a century, the company has built a reputation for delivering premium payment solutions, travel services, and merchant offerings while leveraging cutting‑edge technology and data analytics. In India, American Express operates a vibrant ecosystem of credit, fraud risk, and digital innovation teams, offering employees a platform to work on high‑impact projects that shape the future of finance. The firm’s culture emphasizes customer obsession, inclusive leadership, and continuous learning, making it an attractive destination for ambitious graduates. The Analyst – Data Governance & Management role sits within the Credit and Fraud Risk (CFR) business unit and the Analytics & Risk Management career area. As a junior data professional, you will be responsible for safeguarding the integrity, accessibility, and compliance of enterprise‑wide data assets that drive critical business decisions across customers, merchants, and transactions. You will collaborate with technology, design, and business stakeholders to build robust data pipelines, enforce governance standards, and create reusable data products that accelerate insight generation. Key Responsibilities: 1. Own end‑to‑end lifecycle of enterprise data assets, ensuring they are catalogued, documented, and governed. 2. Act as a data custodian, driving data quality initiatives and monitoring data health metrics. 3. Support data standardisation, ownership, and compliance with security policies. 4. Design and implement data integration workflows using modern ETL/ELT tools. 5. Identify process bottlenecks and propose automation or big‑data solutions to improve productivity. 6. Collaborate with cross‑functional teams to develop new data‑product capabilities and enhance existing ones. 7. Conduct root‑cause analysis of data anomalies and recommend corrective actions. 8. Stay abreast of emerging technologies such as generative AI, cloud platforms, and data‑mesh concepts to innovate data management practices. 9. Prepare documentation, dashboards, and reports for business stakeholders. 10. Participate in knowledge‑sharing sessions and mentor peers on best practices. Tech Stack: SQL, Python, Google Cloud Platform (BigQuery, Dataflow), data‑catalog tools, basic knowledge of generative AI, and data‑visualisation platforms. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, Data Governance Lead, and eventually to Manager or Director roles within the Analytics & Risk Management track, with opportunities to move into broader data‑science or product‑management streams. Why Join American Express? The company offers a hybrid work model, exposure to global best practices, mentorship from seasoned data professionals, and a clear career ladder. Employees enjoy competitive compensation, performance bonuses, comprehensive health benefits, and a culture that values diversity, work‑life balance, and continuous upskilling.