Analyst-Data Analytics

Round 1: Online Assessment (aptitude, logical reasoning, basic programming) → Round 2: Technical Interview (Python, SQL, data analytics concepts, case study) → Round 3: HR Interview (fit, motivation, cultural alignment)

American Express promotes an inclusive, employee‑first culture with strong emphasis on learning and development. The company offers flexible work arrangements, regular upskilling programs, and a supportive environment that encourages work‑life balance. Employees often cite clear career progression and global exposure as key benefits.

Candidates typically face a three‑stage process: an online assessment focusing on quantitative aptitude and basic coding, followed by a technical interview that probes Python, SQL, Hive, and data‑analysis case studies. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation of analytics fundamentals and problem‑solving techniques greatly improves success chances.

Bachelor’s degree in Economics, Finance, Accounting, Statistics, Artificial Intelligence, Data Analytics, Engineering or related quantitative field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2023‑2026; no active backlogs at the time of joining; must be legally authorized to work in India.

American Express is a global payments and financial services company with a strong presence in India. Known for its customer‑centric culture, the firm invests heavily in technology, data‑driven decision making and employee development. In India, American Express operates across multiple verticals such as corporate cards, travel services, and digital payments, offering a vibrant ecosystem for fresh talent to grow. The organization consistently ranks among the top employers for its inclusive policies, learning opportunities, and focus on work‑life balance. The Analyst‑Data Analytics role is positioned within the US SME (Small and Medium Enterprise) channel operations team in Gurugram. The analyst will design and implement automation solutions that streamline operational workflows, collaborate with cross‑functional stakeholders, and apply advanced analytical techniques to uncover process inefficiencies. This position is ideal for recent graduates or candidates with up to two years of experience who are passionate about turning data into actionable insights. **Key Responsibilities** 1. Design, develop, and deploy automation scripts for repetitive operational tasks across US SME channels. 2. Partner with SME Sales, AD organization, Oneforce Capabilities, Tech, Control Management, and CEG to ensure alignment and smooth implementation of solutions. 3. Perform deep‑dive data analysis using Python, SQL, and Hive to identify process gaps and recommend improvements. 4. Build statistical models and data‑mining pipelines to support decision‑making. 5. Create dashboards and visual reports for stakeholders to monitor key performance indicators. 6. Conduct root‑cause analysis of operational issues and propose data‑driven fixes. 7. Document automation workflows, data pipelines, and standard operating procedures. 8. Stay updated with emerging analytics tools and best practices, sharing knowledge within the team. 9. Participate in code reviews and ensure adherence to coding standards and security policies. 10. Mentor junior team members on analytical techniques and automation best practices. **Tech Stack**: Python, SQL, Hive, Tableau/PowerBI, Git, Linux scripting, Agile methodologies. **Growth Path**: Successful analysts can progress to Senior Analyst, Data Engineer, or Product Analyst roles, eventually moving into managerial positions such as Analytics Manager or Operations Lead. The company encourages internal mobility and provides structured learning programs. **Why Join American Express?** The firm offers a competitive salary range, exposure to global best practices, and a collaborative environment where fresh ideas are welcomed. Employees benefit from robust training modules, mentorship programs, and a culture that values diversity and innovation, making it an excellent launchpad for a career in data analytics.