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:

• 26006906

Years of experience:

• 0 to 2 years

Company description:

• American Express is a globally recognized financial services organization with a long standing history of innovation and customer centric solutions spanning more than a century
• The company has built a strong reputation for offering premium financial products and services including credit cards, payment solutions, travel related services, and digital financial tools
• It operates across multiple countries and serves a wide spectrum of customers ranging from individuals to small businesses and large enterprises
• The organization focuses heavily on building trust, ensuring data security, and delivering high quality customer experiences that set it apart in the financial services space
• American Express continuously invests in technology, analytics, and digital transformation to enhance its product offerings and stay competitive in a rapidly evolving market
• Its culture emphasizes collaboration, inclusivity, and innovation, enabling employees to contribute meaningfully while growing professionally
• The company is known for its strong leadership principles and encourages employees to bring forward ideas that can improve processes, products, and customer outcomes
• It provides a supportive work environment where employees are empowered to take ownership of their work and contribute to impactful business decisions
• American Express also prioritizes employee well being by offering various benefits related to health, financial security, and career development
• With a global presence and a strong focus on analytics driven decision making, the company continues to play a key role in shaping the future of financial services

Profile overview:

• This role is part of the Analytics, Investment Optimization and Marketing Enablement team within the Global Commercial Services Marketing division
• The position focuses on delivering data driven insights that support business growth strategies for commercial products beyond traditional card offerings
• The selected candidate will work on analyzing customer behavior, identifying cross sell opportunities, and improving customer engagement across small and medium enterprise segments
• The role requires close collaboration with multiple stakeholders including business leaders, product teams, and analytics partners across different geographies
• The individual will be expected to design and implement analytical solutions that help in optimizing customer acquisition strategies and enhancing revenue growth
• A strong understanding of data analysis techniques and business context is necessary to translate data into actionable insights
• The role involves working on multiple strategic initiatives that aim to expand product adoption and improve customer lifecycle management
• Candidates will need to demonstrate the ability to handle complex datasets, derive meaningful patterns, and communicate findings effectively to non technical stakeholders
• The position offers exposure to advanced analytics use cases including the application of artificial intelligence and machine learning techniques for marketing optimization
• It is suited for individuals who are analytical, curious, and capable of working in a dynamic environment where problem solving and innovation are highly valued

Qualifications:

• A bachelor’s degree in a quantitative discipline such as Finance, Engineering, Mathematics, Computer Science, or Economics is required
• Candidates should have up to two years of relevant experience in data analytics, business analysis, or a related field
• Strong knowledge of SQL and Python is essential for data extraction, manipulation, and analysis
• Familiarity with statistical methods and analytical techniques is important for generating insights from data
• Basic understanding of machine learning concepts such as regression, classification, and clustering is preferred
• Exposure to big data technologies and tools will be considered an added advantage
• Candidates should have an interest in applying emerging technologies such as artificial intelligence and generative AI in business use cases
• Strong problem solving skills and the ability to think critically are necessary to address business challenges effectively
• Excellent communication skills are required to present insights clearly and influence stakeholders
• Ability to work independently as well as collaboratively within cross functional teams is important
• Candidates should be capable of managing multiple projects simultaneously and prioritizing tasks based on business impact
• Attention to detail and a structured approach to analysis are key qualities expected in this role
• A proactive mindset and willingness to learn new tools and techniques will help candidates succeed in this position

Additional info:

• The role involves working closely with global teams and stakeholders, providing exposure to international business operations and diverse market dynamics
• Employees will have access to various learning and development programs aimed at enhancing technical and leadership skills
• The company offers competitive compensation along with performance based incentives
• Benefits include health insurance, wellness programs, and financial planning support to ensure overall well being
• Flexible work arrangements allow employees to balance professional responsibilities with personal commitments
• The organization promotes an inclusive work culture where employees from different backgrounds are encouraged to contribute and grow
• Opportunities for career advancement are available through internal mobility and skill development initiatives
• Employees are supported with resources that help them maintain physical, mental, and financial health
• The company also provides parental leave policies and support systems for employees with families
• Ethical practices and compliance with regulations are strictly followed in all aspects of business operations
• The hiring process includes background verification checks as per company policies
• The organization is committed to equal employment opportunities and ensures fair treatment for all applicants
• Employees are encouraged to challenge existing processes and bring innovative ideas that can drive business success
• This role provides a strong foundation for building a career in analytics, marketing strategy, and data driven decision making

Please click here to apply.