Analyst-Data Analytics

Round 1: Online Assessment (aptitude, logical reasoning, and basic coding) → Round 2: Technical Interview (deep dive into Python, SQL, Hive, PySpark, ML concepts) → Round 3: HR Interview (fit, motivation, cultural alignment)

American Express is known for its inclusive and employee‑centric culture, offering ample growth opportunities, mentorship programs, and a strong emphasis on work‑life balance. The organization encourages continuous learning, cross‑functional collaboration, and recognizes high performers with clear career progression pathways.

The interview process at American Express typically starts with an online assessment focusing on aptitude and basic coding, followed by a technical interview that probes deep knowledge of Python, SQL, Hive, and machine learning concepts. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate to high, with an emphasis on problem‑solving ability and clear articulation of analytical approaches.

Bachelor’s Degree in Engineering, Technology, Science, Arts or Business (B.E, B.Tech, B.Sc, BA, BBA) with minimum 60% aggregate. Any discipline is acceptable provided the candidate possesses strong analytical and technical skills. No active backlogs at the time of joining. Open to candidates from the 2022‑2026 graduating batches. Prior work experience in data analytics, automation or related fields is required.

American Express is a global financial services leader renowned for its premium payment, travel and banking solutions. With a presence in over 130 countries, the company leverages cutting‑edge technology and data‑driven insights to deliver superior customer experiences and drive business growth. In India, American Express operates a vibrant ecosystem of sales, technology, and analytics teams that collaborate to innovate across retail, corporate, and small‑business segments. The firm is celebrated for its inclusive culture, strong emphasis on employee development, and a commitment to work‑life balance, making it a preferred employer for ambitious professionals. The Analyst‑Data Analytics role in Gurugram sits within the Sales Enablement Organization, a hub that accelerates commercial growth through tools, training, and actionable insights. The analyst will partner with Sales, Technology, Control Management, and other cross‑functional teams to design automated operational solutions for US Small and Medium Enterprise (SME) channels. The position demands a blend of strong programming capabilities, statistical acumen, and a passion for turning raw data into strategic recommendations. Key Responsibilities: 1. Design and implement end‑to‑end automation workflows that reduce manual effort across multiple US SME processes. 2. Collaborate with sales, technology, and control teams to gather requirements and align solutions with business objectives. 3. Extract, transform, and analyze structured and unstructured data using Python, SQL, and Hive. 4. Conduct deep‑dive process analysis to identify bottlenecks, root causes, and improvement opportunities. 5. Develop, validate, and deploy operational models with minimal manual intervention. 6. Mentor contractors and apprentices, ensuring accurate and timely execution of daily tasks. 7. Generate business insights by highlighting trends, risks, and opportunities through data visualisation. 8. Continuously propose innovative ideas to streamline operations and enhance efficiency. 9. Prepare comprehensive documentation and presentations for senior stakeholders. 10. Stay updated with emerging big‑data and cloud technologies to future‑proof solutions. Technical Stack: Python, SQL, Hive, PySpark, scikit‑learn, Hadoop, Spark, NoSQL databases, Google Cloud, Tableau, Power BI, Power Automate, Excel/VBA, Salesforce, Splunk. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, Data Science Lead, or Product Analytics Manager, with opportunities to move into broader business strategy or technology leadership roles. American Express invests heavily in continuous learning, offering certifications, internal training programs, and mentorship. Why Join: The role offers exposure to large‑scale data environments, direct impact on revenue‑generating processes, and a collaborative culture that values curiosity and innovation. Employees enjoy competitive compensation, global networking, and a supportive environment that encourages both professional and personal growth.