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




Position:

  • Business Analyst - Data Analytics

  • Focus on advanced analytics, data-driven decision-making, and supporting benefit partnerships.

  • Entry-level to early-career role, offering scope for professional growth.

  • Critical in supporting both product and partner strategies through deep analytical insights.

Company:

  • American Express

  • A global leader in financial services and payment solutions.

  • Renowned for innovation, long-standing values, and customer-first approach.

  • Offers a workplace culture where employees are empowered, supported, and inspired to create lasting impact.

Location:

  • Gurugram, Haryana, India

  • Strategic hub for American Express’s global operations.

  • Provides a dynamic environment with access to top financial and data professionals.

Job type:

  • Full-time employment

  • Permanent position with opportunities to advance internally.

  • Structured yet flexible working model.

Job mode:

  • Hybrid

  • Balances in-office collaboration with remote flexibility.

  • Designed to encourage productivity while accommodating employee well-being.

Job requisition id:

  • 25016657

Years of experience:

  • 0–3 years of professional experience

  • Open to fresh graduates or early professionals in analytics and data fields.


Company Description

  • American Express has been at the forefront of financial innovation for over 175 years. Its operations extend across payment services, credit cards, travel-related products, and customer engagement platforms.

  • The company emphasizes customer-centric solutions, offering products that merge technology with financial expertise. This approach has positioned American Express as a trusted brand worldwide.

  • Beyond business, American Express is equally committed to employees. The firm believes in a culture where contributions are valued, ideas are welcomed, and collaboration drives results. Every employee experiences support in the form of health benefits, financial security measures, and avenues for professional growth.

  • The emphasis is not just on work but also on holistic well-being. Employees benefit from mental health programs, flexible work arrangements, and continuous training opportunities. This environment enables individuals to deliver their best while balancing personal aspirations.

  • The organization is recognized globally for its diversity, equity, and inclusion practices. It recruits and nurtures talent without discrimination, ensuring equal opportunity and fair career advancement for all.


Profile Overview

  • The Business Analyst - Data Analytics role focuses on bridging the gap between business development and data-driven strategy. The analyst will use data insights to refine partnerships, enhance product value, and drive competitive advantage.

  • The individual will be responsible for generating analytics that influence negotiations, strengthen partner relations, and uncover opportunities in emerging markets.

  • The position requires a mix of technical data handling, strategic thinking, and communication abilities. Analysts will translate complex data patterns into clear insights that shape decision-making for senior leaders.

  • The role goes beyond just analyzing existing data. It involves setting up monitoring systems, identifying trends, and curating future pipelines in industries aligned with American Express’s loyalty and benefits strategy.

  • With direct exposure to cross-functional teams such as product management, lending, and business development, the role ensures a collaborative working environment. This setup allows early-career professionals to gain a holistic understanding of corporate strategy, analytics, and market positioning.


Responsibilities (Expanded)

  • Develop detailed opportunity landscapes to guide benefit negotiations, providing stakeholders with data-backed perspectives that improve terms with partners.

  • Apply advanced statistical and machine learning techniques to understand customer behavior, market shifts, and competitor strategies.

  • Create and refine robust value propositions for partners using customized analytics, ensuring stronger negotiation leverage.

  • Establish structured management information systems (MIS) to track the performance of benefits from both internal and partner viewpoints.

  • Continuously monitor and identify emerging merchants and sectors that align with American Express’s loyalty programs and future growth objectives.

  • Provide actionable insights to senior leaders in Product Management and Lending, enabling them to make informed, strategic decisions.

  • Collaborate closely with cross-functional groups including product, business development, and partner teams to shape overall product direction.

  • Present findings in clear, concise formats that translate complex data into compelling business stories.


Critical Factors to Success

  • Strong analytical mindset with the ability to solve real-world business challenges through data.

  • Creativity in developing innovative solutions, not just repeating traditional methods.

  • Proficiency in machine learning, statistical modeling, and data mining, coupled with applied research experience.

  • Excellent communication skills, ensuring insights are delivered clearly to technical and non-technical stakeholders alike.

  • Strong interpersonal skills that foster collaboration across different teams.


Qualifications

  • Bachelor’s degree required, with preference for a Master’s degree in areas such as Statistics, Economics, Mathematics, Finance, Computer Science, or Engineering.

  • Solid programming knowledge and hands-on experience with statistical tools and software. Proficiency in SQL, SAS, and big data analytics is essential.

  • Capability to synthesize raw data into actionable insights that solve business challenges.

  • Familiarity with building experiments, testing hypotheses, and validating models for real-world use cases.

  • Ability to adapt quickly to new technologies, evolving datasets, and dynamic business contexts.

  • A balance of quantitative expertise and business acumen, ensuring technical solutions align with strategic objectives.


Additional Info

  • Competitive compensation, including base salary and bonus incentives.

  • Benefits designed to support employee well-being, covering physical health, financial security, and mental resilience.

  • Comprehensive insurance coverage, including medical, dental, vision, and disability benefits (based on location).

  • Retirement planning and financial advisory resources to ensure long-term stability.

  • Flexible working models, allowing hybrid, onsite, or virtual arrangements depending on role and business requirements.

  • Paid parental leave and family-support programs.

  • Access to wellness centers in certain locations, with medical professionals available for immediate support.

  • Counseling services available under the Healthy Minds initiative for confidential mental health support.

  • Continuous professional development opportunities, including leadership training and skill-based certifications.

  • A transparent and inclusive workplace where employment decisions are free from bias related to race, gender, religion, or any other protected status.

  • Employment offers subject to background verification checks in line with legal and regulatory frameworks.


Please click here to apply.



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