American Express is hiring for a FRESHER entry level Data Analytics 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:

• 26004394

Years of experience:

• 0 to 2 years

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Company description:

• American Express is a globally recognized financial services organization with a long-standing legacy of delivering value through innovation, customer trust, and service excellence
• The company has built its reputation over more than a century by consistently introducing new financial products and enhancing customer experiences across markets
• Its operations span across credit cards, payment solutions, travel services, and commercial financial products, serving millions of individuals and businesses worldwide
• A strong focus on customer centricity drives every aspect of its operations, ensuring that users receive reliable, secure, and high-quality services
• The organization emphasizes a culture where employees are supported both professionally and personally, enabling them to contribute effectively while growing in their careers
• American Express promotes a collaborative and inclusive workplace, encouraging diverse perspectives and ideas to solve complex business problems
• It invests heavily in technology, analytics, and data-driven strategies to stay ahead in the evolving financial ecosystem
• Employees benefit from continuous learning opportunities, leadership development programs, and access to modern tools and technologies
• The company is also known for its commitment to ethical practices, corporate responsibility, and community engagement
• With a strong presence in both developed and emerging markets, American Express continues to expand its offerings while maintaining a high standard of trust and reliability

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Profile overview:

• This role is positioned within the Analytics function that supports the Global Commercial Card business
• The candidate will work closely with cross-functional teams to deliver insights that directly impact customer acquisition and growth strategies
• The role involves working on data-driven initiatives that influence how the company engages with customers and improves business performance
• The individual will be responsible for analyzing large datasets to identify patterns, trends, and opportunities that can drive business outcomes
• Collaboration is a key aspect, as the role requires interaction with multiple stakeholders including business teams, product teams, and technology partners
• The position focuses on creating actionable insights that help leadership make informed decisions across channels and product lines
• The candidate will contribute to shaping strategies related to marketing performance, customer engagement, and revenue optimization
• There is a strong emphasis on storytelling, where insights must be communicated clearly to both technical and non-technical audiences
• The role also encourages experimentation with modern technologies, including GenAI, to enhance analytical capabilities and solve business challenges
• It offers exposure to real-world business problems and provides an opportunity to work in a fast-paced, impact-driven environment
• The individual will play a meaningful role in supporting the US market while being based in India, gaining global exposure
• This position is ideal for someone who wants to build a strong foundation in analytics while working in a large-scale enterprise environment

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Qualifications:

• A Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Economics, or Physics is required
• Candidates should have up to two years of relevant experience in analytics, data science, or related fields
• Strong analytical thinking and problem-solving abilities are essential for success in this role
• Proficiency in programming languages such as SQL and Python is expected
• Familiarity with machine learning concepts and data science techniques is important
• Ability to work with large datasets and derive meaningful insights from complex information is required
• Candidates should demonstrate an understanding of business problems and how data can be used to address them
• Exposure to emerging technologies such as Generative AI and their application in business scenarios is highly valued
• Strong communication skills are necessary to present insights effectively to stakeholders
• Ability to work independently as well as collaboratively in a matrix organization is important
• Time management skills and the ability to handle multiple projects simultaneously are required
• Candidates should be comfortable working with cross-functional teams across different geographies
• A proactive mindset with a willingness to learn and adapt to new tools and technologies is expected
• Attention to detail and accuracy in analysis are critical for delivering high-quality outputs
• Candidates should be capable of translating technical findings into business-friendly recommendations

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Additional info:

• The company offers competitive compensation along with performance-based incentives
• Employees receive support for financial planning and retirement benefits
• Health and wellness benefits include medical, dental, and vision coverage depending on location
• Flexible work arrangements are available, including hybrid and remote options based on role requirements
• Paid parental leave policies support employees during important life events
• Access to wellness centers and counseling programs helps employees maintain mental and physical well-being
• The organization encourages continuous learning through training programs and career development initiatives
• Employees have opportunities to grow within the company through internal mobility and leadership roles
• The company promotes a culture of inclusion and equal opportunity for all employees
• Hiring decisions are made based on merit without discrimination of any kind
• Background verification is part of the hiring process as per company policies
• Employees are encouraged to bring innovative ideas and contribute to business transformation
• The work environment supports collaboration, innovation, and personal growth
• The company values employee feedback and encourages open communication
• This role provides exposure to global markets and large-scale business operations

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Key Responsibilities:

• Analyze marketing and sales performance data to identify trends and opportunities for growth
• Develop insights that support strategic decision-making across customer engagement and product performance
• Work closely with cross-functional teams to ensure alignment on business goals and analytical outputs
• Translate complex datasets into clear, actionable recommendations for leadership
• Create compelling narratives using data to influence stakeholders and drive business outcomes
• Collaborate with technology and analytics teams to build and deploy analytical solutions
• Support initiatives related to customer acquisition and organic growth strategies
• Apply machine learning and data science techniques to solve business problems
• Experiment with emerging technologies such as GenAI to improve analytical capabilities
• Manage multiple projects simultaneously while maintaining high quality standards
• Engage with stakeholders across different geographies and functions
• Continuously improve analytical processes and methodologies
• Ensure data accuracy and integrity in all analyses performed
• Contribute to innovation by proposing new ideas and approaches

Please click here to apply.