Analyst - Data Analytics

The American Express interview process typically consists of an online assessment followed by two technical rounds and a final HR discussion. The assessment tests quantitative aptitude, logical reasoning and basic SQL/Python coding. Technical interviews focus on data‑analytics concepts, machine‑learning case studies and your ability to apply GenAI to business problems. HR rounds evaluate cultural fit, communication skills and motivation. Preparation should include strong fundamentals in statistics, hands‑on SQL/Python projects and practicing storytelling with data.

American Express fosters a culture of innovation, collaboration and continuous learning. Employees enjoy a supportive environment with clear growth pathways, regular upskilling programmes and a healthy work‑life balance enabled by flexible hybrid arrangements. The company’s emphasis on diversity and inclusion ensures that every voice is heard and valued.

Minimum: Bachelor’s degree (B.Tech/B.E., B.Sc., B.Com, BBA, etc.) in Statistics, Engineering, Physics, Mathematics, Economics or related quantitative field. Minimum aggregate 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Freshers and candidates with 0‑2 years of experience are eligible. Open to 2025‑2027 batch graduates; final year students can apply if they can join post‑graduation.

Round 1: Online assessment (aptitude, logical reasoning, SQL & Python coding). → Round 2: Technical interview (data analytics concepts, machine‑learning case studies, GenAI applications). → Round 3: HR interview (cultural fit, motivations, compensation discussion).

American Express is a global leader in financial services with a 175‑year legacy of innovation, trust and customer‑centricity. The company’s culture is built around shared values, Leadership Behaviours and a strong risk mindset, ensuring that every product and service upholds the brand promise of security, reliability and excellence. With a presence in more than 130 countries, Amex offers a vibrant ecosystem where technology, data and analytics drive business decisions and shape the future of commerce. The Analyst – Data Analytics role sits within the Analytics (AIM) team of Global Strategy & Operations, GCS. This team acts as the analytical engine for the Global Commercial Card business, leveraging data, AI‑powered targeting and personalization to accelerate profitable growth in acquisitions. Reporting to senior leaders, the analyst will partner with cross‑functional stakeholders across the US market to design, develop and deliver analytics solutions that influence customer acquisition strategies, product performance and revenue outcomes. Key Responsibilities: 1. Support data‑driven strategy by analysing marketing and sales performance, identifying customer trends and uncovering growth opportunities. 2. Deliver actionable insights – translate complex datasets into clear, concise recommendations for senior leadership and functional partners. 3. Enable cross‑functional decision‑making by collaborating with channel owners, business partners, technology teams and external vendors. 4. Influence and storytelling – craft compelling narratives that align stakeholders around strategic priorities. 5. Champion innovation – propose and experiment with emerging GenAI capabilities to solve real business problems. 6. Build and maintain analytical dashboards and reporting tools for continuous monitoring of key metrics. 7. Conduct ad‑hoc deep‑dive analyses to answer critical business questions. 8. Ensure data quality, governance and compliance throughout the analytics lifecycle. 9. Mentor junior analysts and share best practices across the team. 10. Stay updated with the latest trends in machine learning, data science and fintech analytics. The ideal candidate holds a bachelor’s degree in a quantitative discipline such as Statistics, Engineering, Physics, Mathematics or Economics, with 0‑2 years of relevant experience. Strong programming skills in SQL and Python, hands‑on experience with machine‑learning models, and a proven ability to apply GenAI to business problems are essential. Excellent communication, storytelling and stakeholder‑management abilities are also required. American Express offers a comprehensive benefits package that includes competitive base salary, performance bonuses, financial‑well‑being and retirement support, extensive medical, dental, vision and life insurance, flexible hybrid/remote work options, generous parental leave, on‑site wellness centres, confidential counseling through the Healthy Minds program, and continuous learning and career‑development opportunities. The company’s commitment to diversity, inclusion and equal opportunity makes it an attractive destination for fresh talent looking to grow in a dynamic, global environment. Why join American Express? You will be part of a forward‑thinking organization that values data‑driven decision making, encourages innovative thinking and provides a clear career path from analyst to senior leadership roles. The hybrid work model, robust mentorship programmes and exposure to cutting‑edge fintech projects ensure both personal and professional growth.