Analyst-Data Analytics (SQL, Python, GenAI)

The American Express interview process typically starts with an online aptitude test followed by a technical interview focusing on SQL queries, Python scripting, and data‑analysis case studies. A final HR round assesses cultural fit, communication skills, and motivation. The difficulty is moderate; thorough preparation on data manipulation, statistical concepts, and business‑case storytelling helps candidates succeed.

American Express fosters a collaborative and inclusive culture where innovation is encouraged and employees are empowered to take ownership. The company offers robust learning programs, mentorship, and a healthy work‑life balance through flexible hybrid arrangements and wellness initiatives.

Bachelor's degree in a quantitative discipline (e.g., B.Tech, B.Sc/M.Sc Statistics, Economics). Minimum 60% aggregate (or equivalent CGPA). No active backlogs at the time of joining. Fresh graduates from the 2025‑2026 batch are preferred. Strong analytical mindset and willingness to work in rotating shift timings to support global partners.

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical Interview (SQL, Python, data analytics concepts) → Round 3: Managerial/HR Interview (fitment, communication, behavioral questions)

American Express (Amex) is a global leader in payment solutions, travel services, and financial management, operating in more than 130 countries with a legacy of 175 years of innovation. In India, Amex has built a strong presence across consumer, corporate, and merchant segments, delivering premium products and world‑class customer experiences. The company’s culture emphasizes integrity, customer obsession, and a growth mindset, offering employees a supportive environment to experiment, learn, and advance their careers. The Analytics, Investment & Marketing Enablement (AIM) team within Global Commercial Services (GCS) Marketing is the analytical powerhouse that fuels data‑driven decision making for the business. As an Analyst – Data Analytics (Band 30), you will be stationed in Gurgaon and will play a pivotal role in measuring acquisition campaigns, evaluating ROI, and translating complex data into actionable insights that shape marketing strategy across multiple channels and product lines. **Role Summary** You will collaborate closely with marketing, sales, and product stakeholders to design, develop, and deliver analytical solutions that monitor campaign performance, uncover growth opportunities, and support strategic initiatives. Your work will involve extracting data from heterogeneous sources, building visual dashboards, and presenting findings to senior leadership. **Key Responsibilities** 1. Partner with business owners to define measurement frameworks and KPI dashboards for acquisition and engagement campaigns. 2. Conduct ROI analysis, attribution modelling, and performance tracking across digital, offline, and partnership channels. 3. Deliver accurate monthly performance reports for marketing and sales leadership, ensuring timeliness and data integrity. 4. Design and develop interactive visualisations using Tableau or Power BI to communicate insights effectively. 5. Perform exploratory data analysis on large datasets using Hive, SQL, Python, and PySpark, identifying trends, anomalies, and growth levers. 6. Translate business requirements into technical specifications, building end‑to‑end analytical pipelines. 7. Support pilot projects and ad‑hoc analyses in ambiguous, fast‑moving environments, quickly learning new domains. 8. Collaborate with functional leaders, senior managers, and cross‑functional teams to evaluate project feasibility and drive implementation. 9. Maintain strong relationships with marketing stakeholders, acting as a trusted analytics partner. 10. Continuously improve analytical processes, recommend automation, and stay updated on emerging technologies such as Generative AI for data storytelling. **Tech Stack**: Hive, SQL, Python, PySpark, Tableau, Power BI, Advanced Excel, statistical techniques (hypothesis testing, regression, KNN, t‑test, chi‑square), Git for version control. **Growth Path**: Successful analysts can progress to Senior Analyst, Analytics Lead, and eventually to Manager/Director roles within GCS Marketing or broader Amex analytics functions, with opportunities to work on global projects and leverage cutting‑edge AI tools. **Why Join American Express?** Amex offers a competitive compensation package, performance‑linked bonuses, and a comprehensive benefits suite covering health, financial well‑being, and parental leave. The hybrid work model provides flexibility, while the company’s emphasis on continuous learning, mentorship, and internal mobility ensures you can build a long‑term, rewarding career. Joining Amex means being part of a purpose‑driven organization that values diversity, inclusion, and the power of data to drive real business impact.