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

Position:
Analyst - Data Analytics

Company:
American Express

Location:
Gurugram, Haryana, India

Job Type:
Full-time

Job Mode:
Hybrid

Job Requisition ID:
25019316

Years of Experience:
0-3 years

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Company Description

• American Express, a global financial services leader, has built its legacy on over 175 years of trust, innovation, and customer-centric excellence.

• The organization serves millions of customers worldwide by offering cutting-edge payment solutions, financial services, and data-driven insights that empower businesses and individuals.

• Its culture is defined by shared values, collaboration, and a strong sense of leadership that prioritizes inclusion, integrity, and growth.

• Employees at American Express are encouraged to bring their ideas to life, contribute meaningfully, and innovate with purpose.

• The company emphasizes holistic well-being by offering benefits that support physical, mental, and financial health, ensuring every employee can thrive personally and professionally.

• With a commitment to social responsibility, sustainability, and equal opportunity, American Express continues to shape the financial landscape with a people-first approach and a spirit of innovation.

• The company’s “Backed by Amex” philosophy reflects its mission to stand by customers, communities, and colleagues through every step of their journey.

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Profile Overview

• The Analyst - Data Analytics role at American Express is part of the Enterprise Digital Experimentation & Analytics (EDEA) team.

• The position focuses on driving digital transformation through analytics, experimentation, and strategic insights that enhance customer experiences and marketing effectiveness.

• The analyst will collaborate closely with multiple business units, including Brand and Performance Marketing, Digital Acquisition, Membership Experience, and Enterprise Platforms.

• The goal is to leverage data to identify opportunities, optimize digital channels, and develop metrics that define success for various platforms and initiatives.

• This role provides exposure to complex, enterprise-level data systems and encourages analytical innovation across diverse functional areas.

• The analyst is expected to transform raw data into actionable insights that guide strategic business decisions.

• The environment promotes cross-functional teamwork, continuous learning, and opportunities for skill development in analytics, data science, and performance marketing.

• The position reports to the Manager of the EDEA team and plays a key role in delivering analytics that improve efficiency, enhance customer satisfaction, and drive business value.

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Key Responsibilities

• Conduct detailed performance analytics across digital acquisition, membership experiences, and enterprise platforms.

• Design and track key performance indicators (KPIs) to assess the health and effectiveness of digital products and marketing channels.

• Analyze campaign results to uncover actionable insights and identify opportunities for optimization.

• Collaborate with stakeholders across functions to align analytical outputs with strategic business goals.

• Apply analytical techniques to large datasets, combining digital activity data with closed-loop enterprise data for comprehensive insights.

• Develop frameworks that measure the success of various marketing and product initiatives.

• Support the creation of new data products and capabilities to enhance analytical efficiency and innovation.

• Interpret experimental data, assess hypotheses, and provide recommendations based on statistical analysis.

• Build data-driven presentations and communicate findings effectively to both technical and non-technical audiences.

• Maintain data accuracy, consistency, and quality across reporting systems.

• Work with digital product and engineering teams to enable better tracking, data capture, and process improvement.

• Participate in projects aimed at driving digital transformation across the organization.

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Qualifications

• A postgraduate degree in a quantitative or analytical discipline such as Mathematics, Statistics, Finance, Engineering, or Computer Science.

• Strong command over programming languages, preferably Python and SQL, for handling large-scale datasets.

• Familiarity with Big Data tools like Hive and Spark, along with basic exposure to data science principles.

• Understanding of data modeling, business intelligence, and reporting tools.

• Ability to process large datasets efficiently and derive meaningful insights from complex data structures.

• Excellent communication and storytelling skills to present insights in a concise and engaging manner.

• Capacity to collaborate across departments and influence decision-making with data-backed evidence.

• Exposure to hypothesis testing and experimental design concepts such as A/B testing, regression, t-tests, and chi-square tests.

• Strong analytical thinking, problem-solving skills, and the ability to navigate ambiguity in data environments.

• Proactive mindset to identify areas of improvement and drive efficiency in analytical workflows.

• Comfortable working in a dynamic, fast-paced environment that values innovation and precision.

• A continuous learner who is curious about emerging data technologies and evolving analytics practices.

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Preferred Qualifications

• Experience using large-scale analytical frameworks for data visualization, forecasting, and performance evaluation.

• Familiarity with marketing analytics, customer segmentation, and channel performance measurement.

• Basic understanding of cloud data environments and data engineering workflows.

• Capability to interpret and communicate statistical findings to diverse audiences.

• Hands-on experience in data cleaning, transformation, and model validation.

• Strong attention to detail, coupled with an ability to handle multiple tasks simultaneously.

• Prior exposure to experimentation techniques for optimizing digital products and campaigns.

• Ability to work both independently and in collaborative team setups.

• Demonstrated skill in converting data into insights that drive real business outcomes.

• Commitment to American Express leadership behaviors and cultural values.

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Leadership Expectations

• Set the Agenda: Focus on defining success, thinking holistically across the enterprise, and integrating customer perspectives into every decision.

• Bring Others with You: Foster collaboration, provide coaching and feedback, and help build high-performing teams that thrive on trust and communication.

• Do It the Right Way: Communicate transparently, make informed decisions swiftly, and uphold the core values of integrity, fairness, and courage.

• Drive Innovation: Encourage experimentation, embrace data-driven strategies, and leverage emerging technologies for long-term growth.

• Empower Growth: Support team members in their professional journeys by offering opportunities for development and continuous learning.

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Additional Information

• The company offers a competitive compensation package that includes base pay, bonus opportunities, and comprehensive health and wellness benefits.

• Benefits extend to medical, dental, and vision coverage, as well as life and disability insurance.

• Employees can access flexible work arrangements, including hybrid, onsite, or virtual setups, depending on business needs.

• There are extensive parental leave policies, wellness initiatives, and financial well-being programs.

• American Express promotes equal employment opportunities and prohibits discrimination on any protected grounds.

• Candidates will undergo background verification checks as part of the recruitment process.

• The organization supports inclusivity and provides reasonable accommodations for candidates with disabilities.

• Career growth is supported through training, mentorship, and exposure to global business operations.

• The company invests in employee development programs designed to build analytical and leadership skills for future roles.

• By joining American Express, professionals become part of a community that values creativity, accountability, and excellence.

• The role’s impact extends across multiple business functions, contributing directly to improving customer engagement and organizational efficiency.

• Employees are encouraged to uphold company values, live the “Blue Box” promise, and contribute to a workplace that fosters respect and innovation.

Please click here to apply.