American Express is hiring for an 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:

• 25023196

Years of experience:

• 0 to 2 years

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Company description

• American Express has grown through more than a century of service, guided by strong values and consistent focus on customers and colleagues

• The organization is known for supporting people through financial products, travel related services, corporate solutions, and technology driven offerings that help businesses and individuals manage payments and expenses

• Employees are encouraged to share ideas, take ownership of work, and participate in decision making that shapes outcomes for clients around the world

• The company supports learning, leadership development, and personal growth through formal programs, mentoring, and exposure to challenging projects

• A strong emphasis is placed on care for the whole person which includes financial well being, emotional balance, and physical health through benefits, assistance programs, and flexible work options

• Teams work closely across functions such as analytics, marketing, technology, product, and operations to deliver solutions that improve customer experience and business performance

• Diversity and inclusion are treated as core strengths and people are respected regardless of background, identity, or personal characteristics

• The company also invests in communities through social responsibility initiatives, volunteering, and partnerships that aim to create positive change

• The organization continuously adapts to changing digital trends, new payment experiences, and evolving customer expectations while maintaining trust as a key foundation

• Being part of the company means joining a global network that values collaboration, ethical conduct, and long term relationships with customers as well as employees

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Profile overview

• This position sits within the Global Commercial Services Marketing group of American Express in the Analytics, Investment Optimization and Marketing Enablement team

• The team supports business growth beyond standard card products by using data based insights to improve cross sell, engagement, and revenue opportunities

• The role focuses on analytics for small and medium enterprises and mid market segments, where business customers use a range of commercial solutions

• The selected person will contribute to projects that shape customer acquisition strategies as well as plans for organic growth through better product usage and engagement

• Work will involve creating data driven solutions, producing insights, and delivering recommendations that guide senior leaders and product teams

• The person in this position will collaborate with partners across geographies, functions, and business units to identify opportunities and solve problems

• Strong communication will be required to present findings clearly, build alignment, and inspire action among stakeholders

• The work environment encourages curiosity, questioning existing approaches, and proposing new ways to improve outcomes

• Success in this role requires comfort with analytical tools, ability to handle complex data sources, and capability to translate results into business impact

• The role offers exposure to strategic initiatives within the commercial business and helps build expertise in corporate payments, analytics, and business decision support

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Qualifications

• A degree in a quantitative subject such as finance, engineering, mathematics, computer science, or economics

• Fundamental knowledge of statistics, data handling, and business analytics concepts

• Familiarity with programming tools such as SQL and Python used to manipulate data and develop analytical solutions

• Ability to combine technical understanding with business thinking to produce insights that drive outcomes

• Capacity to prioritize tasks effectively and manage several projects at the same time while maintaining quality

• Readiness to work both independently and as part of cross functional teams across different regions

• Exposure to large data environments or big data technologies is considered useful even at beginner level

• Strong problem solving skills, willingness to learn new tools, and openness to feedback from mentors and teammates

• Communication skills that support writing clear summaries, preparing presentations, and explaining findings to non technical audiences

• A mindset focused on growth, learning, ownership, and responsibility for assigned tasks

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Additional info

• The company offers base pay along with performance based bonuses depending on role and business results

• Employees receive support programs related to retirement planning, savings, and financial education

• Medical, dental, vision, life cover, and disability benefits are available in line with location specific policies and legal requirements

• Work model provides flexibility with a mix of office presence and remote working depending on business needs

• Parental leave policies support families during important life events and allow time away from work without career penalty

• Wellness centers at some locations provide access to nurses, doctors, and fitness resources to care for health

• Counseling support is available through internal programs to help employees navigate stress, personal challenges, or emotional concerns

• Training programs and learning platforms help employees upgrade technical skills, leadership capability, and domain knowledge

• Equal opportunity principles guide all hiring and employment practices and decisions do not consider personal characteristics protected by law

• Job offers are subject to background verification based on applicable rules and candidates may receive reasonable accommodations during recruitment if needed

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Key responsibilities

• Contribute to data analytics projects focused on increasing adoption of non card commercial products among business customers

• Support cross sell initiatives where existing clients are introduced to additional solutions that suit their needs

• Assist in engagement analytics to encourage better product usage, retention, and long term relationships

• Work on projects that aim to grow revenue in small and medium enterprise segments and mid market segments in partnership with business leaders

• Participate in priority initiatives such as lending solutions, business checking and related platforms, payment automation programs, and digital product adoption

• Build analytical frameworks that help track business performance and identify improvement areas

• Develop data based recommendations that guide leadership teams in shaping strategy

• Help define success metrics, measure outcomes, and refine approaches based on learning from data

• Communicate insights in a simple and convincing manner to stakeholders across product, marketing, and strategy functions

• Take initiative in identifying opportunities, resolving issues, and automating repeat analytical tasks to save time and increase accuracy

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Role expectations

• Be proactive in exploring different data sources to understand customer behavior in business segments

• Work closely with product teams to assess how new offerings perform and suggest ways to strengthen adoption

• Participate in meetings with senior leaders where findings and recommendations are discussed

• Maintain attention to detail while working with large datasets and ensure accuracy of outputs

• Show ownership of assigned analyses from planning to delivery, including testing and validation

• Keep track of industry trends related to commercial payments and analytics to improve contextual understanding

• Demonstrate flexibility in working across multiple time zones or teams located in different regions when required

• Respect confidentiality of data and follow all internal controls and compliance requirements

• Build strong working relationships with colleagues and partners by being reliable and collaborative

• Maintain documentation of work, methods used, and results generated so that insights can be reused by others

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Benefits of working in this team

• Exposure to global commercial business which serves enterprises of many sizes and industries

• Opportunity to work with experienced leaders who guide analytics initiatives

• Learning environment where feedback is encouraged and growth is supported through formal training and on the job experience

• Daily work that connects directly to real business outcomes such as revenue growth, client satisfaction, and product adoption

• Access to internal tools, platforms, and data systems that strengthen technical capability

• Experience in both strategy and execution which helps build a balanced career foundation

• Chance to participate in high impact initiatives that shape direction for future offerings

• Support from a professional community known for collaboration and mutual respect

• Recognition programs that acknowledge strong performance and meaningful contributions

• Flexible work options that help balance professional responsibilities with personal priorities

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Work culture highlights

• Respect for diversity of thought, culture, and identity across the global workforce

• Emphasis on ethical conduct and responsible decision making in all business activities

• Encouragement to speak up, share ideas, and challenge existing methods when better solutions exist

• Celebration of teamwork where success is achieved through shared effort rather than individual competition

• Focus on customer backing which means understanding client needs and supporting them through reliable service

• Strong leadership behaviors modeled by managers and senior executives that emphasize accountability, empathy, and clarity

• Open communication channels that make it easier for employees to express concerns or seek advice

• Supportive environment during personal challenges through counseling and assistance programs

• Recognition that personal growth and professional success are closely connected

• Continuous evolution of work practices to match digital transformation and changing market needs

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Skills helpful for success in the role

• Ability to query databases using SQL to extract, transform, and summarize information

• Knowledge of Python for analysis, automation, and basic modeling tasks

• Understanding of statistics, segmentation, and performance measurement

• Comfort using visualization tools to present data in charts or dashboards

• Logical thinking that helps connect data patterns with business realities

• Time management to handle multiple assignments without missing deadlines

• Curiosity about business payments, credit, lending, and commercial solutions

• Openness to experiment with new approaches and learn from results

• Written and spoken communication clarity to engage stakeholders

• Team orientation and willingness to collaborate rather than working in isolation

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Equal opportunity statement

• Employment practices do not discriminate on the basis of race, color, religion, gender, sexual orientation, identity, national origin, veteran status, disability, age, or any protected status

• All applicants are assessed based on qualifications, capability, and role requirements

• Candidates who require reasonable accommodations during the process may request assistance

• Background checks are conducted in line with regulations before final hiring decisions are made

• The company promotes fairness, respect, and access to opportunity for all employees

Please click here to apply.