American Express is hiring for a fresher entry level Data Analyst role in India

Position:

• Analyst – Data Analytics (Data Analyst)

Company:

• American Express

Location:

• Gurugram, Haryana, India (also referred to as Gurgaon)

Job type:

• Full-time

Job mode:

• Hybrid work arrangement

Job requisition id:

• 25013464

Years of experience:

• Entry‑level, 0 to 3 years

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Company description :

• American Express, often called Amex, is a renowned global financial services company with a legacy of over a century that places a heavy emphasis on innovation, customer service and employee empowerment

• Known for its credit card, charge card and travel-related offerings, the organisation prides itself on delivering top‑tier experiences to cardmembers, merchants and partners across the globe

• The company fosters a culture of mutual support, offering comprehensive benefits, wellness programmes and career growth opportunities

• With a diverse workforce spanning multiple geographies, Amex is committed to creating an inclusive environment where every colleague has a voice and can thrive

• The organisation backs its team members through robust learning and development initiatives and supports personal well‑being through mental health services, flexible working, medical coverage, and financial‑well‑being tools

• Amex emphasises values such as integrity, collaboration, external orientation and enterprise thinking

• At Amex one joins a global community that values leadership behaviours, sets high standards and recognises individual impact in delivering world class customer and employee experiences

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Profile overview :

• You will join the Enterprise Digital Experimentation & Analytics (EDEA) team within the Enterprise Digital function, contributing to brand, performance marketing, digital acquisition, servicing and membership analytics

• The role combines digitisation efforts, data experimentation and scale‑driven analytic innovation

• Your focus will be to analyse large volumes of digital activity including web, mobile and platform data to optimise marketing channels and digital product experiences

• You will partner with cross‑functional teams and support the development and scaling of new features, campaigns and experiences

• You will be expected to translate digital usage data into actionable insights that drive growth, enhance customer satisfaction and improve business metrics

• Reporting to a team manager based in Gurugram you will deliver strategic analytics across performance marketing, acquisition flows, referral, application experience and membership

• You will monitor key performance indicators, conduct campaign read‑outs, derive learnings and recommend optimisation strategies

• Over time you will deepen your understanding of enterprise‑wide digital platforms and contribute analytics that inform product decisions and platform enhancements

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Qualifications :

• You hold a postgraduate or graduate degree in a quantitative discipline such as finance, engineering, mathematics, computer science or a related field

• You should be proficient in programming languages commonly used for data work, such as Python and SQL; familiarity with big data tools like Hive or Spark is preferred

• Experience processing and managing large data sets is important; exposure to data science concepts is an advantage

• You need strong attention to detail, and ability to perform in a fast‑paced, dynamic, cross‑functional environment

• Excellent communication skills are required, with ability to engage stakeholders, present insights clearly and influence business partners

• Preferred skills include analytical thinking for solving ill‑structured business problems, summarising findings concisely to leadership

• Familiarity with statistical tools for experimentation analysis—such as regression, hypothesis testing, t‑test, chi‑square—is beneficial

• You should be comfortable designing and executing analyses that combine digital activity and closed loop outcome data (AXP data) to support strategic decisions

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Additional info :

• The Enterprise leadership behaviours that guide this role emphasise setting the agenda, collaborating broadly and acting ethically

• You are expected to align with leadership principles such as defining success metrics, adopting enterprise-wide strategic thinking and maintaining an external perspective

• Collaboration is central—building teams, providing and seeking feedback, and ensuring joint accountability across functions

• Communication should be timely candid and clear; decision making swift and effective while staying true to company values

• The workplace offers comprehensive support including medical dental vision and life insurance; disability coverage; competitive pay and bonus incentives

• Employees have access to financial planning tools retirement support and wellness programmes including confidential counselling

• Parental leave is generous based on local regulations; many sites provide wellness centres with onsite medical staff

• Career growth resources span training and development programmes that enable internal mobility and skill enhancement

• American Express is an equal opportunity employer ensuring decisions are free from bias based on protected statuses; employment is contingent on successful background verification per applicable laws

• The culture emphasises 175 years of shared values, innovative spirit and leadership at all levels, with a strong commitment to backing customers communities and colleagues

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Please click here to apply.