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

Position:

• Analyst - Data Science

• Entry-level role focused on analytics, marketing performance measurement, and data-driven insights

• Part of the Global Commercial Services (GCS) Marketing team

Company:

• American Express

• A global financial services leader with 175 years of history

• Recognized for its customer focus, employee support, and innovative business practices

Location:

• Gurugram, Haryana, India

Job type:

• Full-time position

Job mode:

• Hybrid (mix of onsite and remote work as per business requirements)

Job requisition id:

• 25016137

Years of experience:

• 0 to 3 years of professional experience in analytics, data science, or related fields

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Company Description

• American Express has been a household name in financial services for more than a century and a half, with roots that go back to 1850.

• The company has consistently evolved to remain relevant in changing markets, pioneering innovation in payment solutions, customer engagement, and technology-driven products.

• Known globally for its credit cards, charge cards, and banking solutions, American Express also leads in commercial services, loyalty programs, and digital transformation.

• The organizational culture emphasizes teamwork, inclusion, leadership behaviors, and continuous innovation. Every colleague is encouraged to bring ideas forward, challenge conventions, and drive meaningful change.

• The company prioritizes employee well-being with holistic programs covering physical, mental, and financial wellness.

• As a global employer, American Express maintains a strong focus on equal opportunity, respect, and diversity, making it an attractive place to start and grow a career.

• Joining American Express means becoming part of a purpose-driven organization where employees are empowered to back customers, colleagues, and communities with trust and integrity.

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Profile Overview

• The Analyst - Data Science role sits within the Analytics, Investment Optimization and Marketing Enablement (AIM) team, which operates under the Global Commercial Services (GCS) Marketing group.

• The AIM team functions as the analytical engine powering decision-making for the global Commercial Card and Non-Card businesses.

• In this position, you will work on critical analytics initiatives, including campaign measurement, marketing performance, ROI analysis, customer behavior studies, and portfolio analytics.

• The role requires close partnership with GCS Marketing stakeholders to evaluate marketing campaigns, assess customer responses, and deliver actionable recommendations for business growth.

• Responsibilities extend to creating dashboards, generating regular performance reports, and developing frameworks for tracking marketing initiatives.

• You will collaborate with global teams, bringing in insights that influence strategy and execution across multiple geographies.

• The role demands not only technical proficiency in SQL, Python, and data visualization tools but also strong communication and problem-solving skills.

• It is well-suited for candidates who want to apply their analytical knowledge in a business-oriented environment, balancing data science techniques with commercial impact.

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Key Responsibilities

• Conduct portfolio analytics to uncover trends, customer segments, and growth opportunities.

• Support marketing partners by measuring campaign effectiveness, calculating ROI, and delivering insights that directly inform strategy.

• Partner with GCS Marketing to build and implement analytical solutions that guide leadership decisions.

• Prepare and deliver timely reports, including monthly summaries, highlighting marketing performance outcomes for senior leaders.

• Create dashboards and frameworks that provide visibility into campaign and portfolio activities, enabling leaders to make informed decisions.

• Identify process improvements and drive automation in analytical reporting and measurement systems.

• Work cross-functionally with technology, product, and marketing teams to align goals and deliver holistic insights.

• Demonstrate strong problem-solving skills, proactively identifying challenges and proposing innovative solutions.

• Apply statistical techniques and machine learning where relevant to enhance analysis and predictions.

• Engage with stakeholders effectively, ensuring alignment of priorities and clarity of insights provided.

• Develop success metrics to evaluate initiatives and ensure transparency in outcomes.

• Display adaptability by balancing multiple projects and delivering quality results within deadlines.

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Qualifications

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

• Strong technical foundation with proficiency in SQL and Python. These skills are essential for data extraction, cleaning, and analysis.

• Familiarity with big data programming environments, distributed computing frameworks, or cloud-based platforms is an advantage.

• Experience or exposure to data visualization tools like Tableau or Power BI to communicate insights effectively.

• Ability to connect business questions with analytical approaches, balancing statistical rigor with practical outcomes.

• Strong interpersonal skills to collaborate across departments, geographies, and organizational layers.

• Ability to prioritize tasks and handle multiple projects in parallel.

• An independent worker who can also thrive in collaborative team environments.

• Critical thinking and curiosity, with a mindset to challenge conventional methods and propose new approaches.

• Comfort working in a matrix structure with multiple stakeholders and parallel business objectives.

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Additional Info

• Compensation and Benefits: Competitive salary packages, performance-based bonuses, and retirement plans.

• Health & Well-being: Comprehensive medical, dental, vision, and life insurance. Access to wellness programs and counseling support.

• Flexibility: Hybrid working model with flexibility for onsite and remote arrangements. Policies tailored to role and location.

• Parental Support: Paid parental leave policies supporting employees during important life stages.

• Professional Development: Structured training programs, leadership development opportunities, and exposure to global projects.

• Culture: A diverse and inclusive environment where colleagues are encouraged to share ideas, challenge assumptions, and contribute to meaningful projects.

• Work Environment: Highly collaborative, innovative, and fast-paced, with emphasis on continuous improvement and personal growth.

• Compliance: Employment is contingent upon successful completion of background checks, adhering to legal and regulatory frameworks.

• Equal Opportunity: Employment decisions are free from bias related to gender, race, religion, sexual orientation, or any other protected status.

• Long-term Career Path: Opportunities to transition into senior roles such as Senior Analyst, Manager, or Director within the analytics and data science functions.

Please click here to apply.