Analyst Data Governance & Mgmt
American Express
About the role
American Express is a worldβrenowned 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 cuttingβedge 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 highβimpact projects that shape the future of finance.
The firmβs culture emphasizes customer obsession, inclusive leadership, and continuous learning, making it an attractive destination for ambitious graduates.
The Analyst β 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 enterpriseβwide 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
- Own endβtoβend lifecycle of enterprise data assets, ensuring they are catalogued, documented, and governed.
- Act as a data custodian, driving data quality initiatives and monitoring data health metrics.
- Support data standardisation, ownership, and compliance with security policies.
- Design and implement data integration workflows using modern ETL/ELT tools.
- Identify process bottlenecks and propose automation or bigβdata solutions to improve productivity.
- Collaborate with crossβfunctional teams to develop new dataβproduct capabilities and enhance existing ones.
- Conduct rootβcause analysis of data anomalies and recommend corrective actions.
- Stay abreast of emerging technologies such as generative AI, cloud platforms, and dataβmesh concepts to innovate data management practices.
- Prepare documentation, dashboards, and reports for business stakeholders.
- Participate in knowledgeβsharing sessions and mentor peers on best practices.
Tech Stack: SQL, Python, Google Cloud Platform (BigQuery, Dataflow), dataβcatalog tools, basic knowledge of generative AI, and dataβvisualisation 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 dataβscience or productβmanagement 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, workβlife balance, and continuous upskilling.
Eligibility & process
Who can apply
Bachelorβs 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 dataβgovernance concepts. Candidates with internships or projects related to data management, analytics, or cloud technologies are preferred.
Skills & stack
Selection process
- 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
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer
How do you handle dynamic WebElements whose ID changes on page reload? Answer
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer
Behavioural & HR questions 3
Highlight American Express's market reputation, recent tech innovations, and how your skills in Data Governance directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.