Analyst - Data Analytics

The interview process typically begins with a timed online aptitude test covering quantitative, logical and verbal reasoning. Shortlisted candidates face a technical interview that focuses on Python, SQL, data manipulation and statistical concepts, often with live coding on a shared screen. The final HR round evaluates cultural fit, communication skills and motivation. Overall difficulty is moderate; thorough preparation of coding fundamentals and business‑analytics scenarios is essential.

American Express fosters a collaborative, data‑driven environment where experimentation is encouraged. Employees enjoy clear growth pathways, regular upskilling sessions, and a healthy work‑life balance supported by flexible hybrid arrangements.

Bachelor's degree in Economics, Finance, Accounting, Statistics, Data Analytics, Engineering, Computer Science, or Artificial Intelligence. Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Graduation batch 2025 or 2026. Strong analytical mindset and proficiency in Python and SQL are mandatory.

Round 1: Timed online aptitude test (quantitative, logical, verbal) → Round 2: Technical interview focusing on Python, SQL, data manipulation and statistics with live coding → Round 3: HR interview assessing cultural fit, communication and motivation

American Express is a global financial services leader with a legacy of over 160 years in delivering innovative payment, travel and expense solutions. In India, the company has built a strong presence across retail, corporate and small‑medium enterprise (SME) segments, leveraging cutting‑edge technology and data‑driven decision making. The organization prides itself on a collaborative culture that encourages employees to experiment, challenge the status quo and create value for customers worldwide. With a focus on continuous learning, American Express offers regular upskilling programs, mentorship, and a clear career ladder for analytics professionals. The Data Analytics Analyst role is positioned within the US SME sales operations team, acting as a bridge between business stakeholders and technology partners. The incumbent will design, develop, and maintain end‑to‑end automation solutions that streamline operational workflows, reduce manual effort, and provide actionable insights for senior leadership. This role demands a blend of strong analytical thinking, programming proficiency, and the ability to translate complex data into business‑ready recommendations. Key responsibilities: 1. Design and implement end‑to‑end automations for operational workflows across US SME sales channels. 2. Partner with SME Sales, AD organization, One force Capabilities, Tech, Control Management and CEG to ensure alignment and successful rollout. 3. Conduct deep‑dive analysis to uncover process gaps, risks and opportunities, translating findings into actionable recommendations. 4. Develop, validate and deploy automated solutions with minimal manual intervention, leveraging Python, SQL and Hive. 5. Apply statistical modelling and data‑mining techniques to support decision‑making and performance tracking. 6. Build and maintain dashboards and visualisations using Tableau, Power BI or similar tools for senior leadership. 7. Continuously evaluate existing processes, challenge the status quo and propose innovative improvements. 8. Document workflows, create SOPs and train end‑users on new automated tools. 9. Monitor solution performance, troubleshoot issues and iterate for optimisation. 10. Contribute to cross‑functional projects, sharing insights with analytics, marketing and product teams. Tech stack includes Python for scripting and machine‑learning models, SQL/Hive for data extraction, Tableau/Power BI for visualisation, and Git for version control. Successful analysts can expect a growth path from Analyst to Senior Analyst, then to Analytics Lead or Product Manager, with exposure to global teams and the possibility of international assignments. Joining American Express offers the chance to work on high‑impact projects, learn from industry veterans, and be part of a brand that values innovation, diversity and employee well‑being.