American Express is hiring for a fresher entry level Business Analyst (Data Analytics) role in India
Position:
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Business Analyst – Data Analytics
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Entry-level to early-career professional role
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Focus on data analytics, reporting, and business insights
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Plays a key part in supporting business development, product management, and leadership decisions
Company:
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American Express
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A global financial services corporation with a 175-year history
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Known for its customer-first approach and strong emphasis on values and leadership behaviors
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Operates worldwide with millions of cardholders and partners
Location:
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Gurugram, Haryana, India
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Strategic location with access to business hubs, clients, and partners
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Offers modern office infrastructure, flexible work environment, and collaboration with cross-functional teams
Job type:
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Full-time position
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Structured as a permanent employment opportunity
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Includes long-term career development prospects within the company
Job mode:
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Hybrid model
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Combination of in-office collaboration and remote working flexibility
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Designed to ensure balance between teamwork and individual productivity
Job requisition id:
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25018608
Years of experience:
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Open to 0–3 years of experience
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Suitable for fresh graduates or early professionals in analytics or related domains
Company Description
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American Express, often recognized as “Amex,” is a multinational corporation that provides credit cards, financial products, and travel-related services.
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The company has maintained a strong reputation for innovation, leadership, and customer commitment for more than 175 years.
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It fosters a workplace culture that prioritizes the well-being of employees, offering physical, financial, and emotional support programs.
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Employees at American Express are provided with continuous learning opportunities, career progression pathways, and exposure to cutting-edge technologies in finance and data.
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The organization values inclusivity, diversity, and equal opportunity, ensuring fair treatment regardless of background, gender, identity, or abilities.
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American Express operates with a vision of delivering unmatched value to customers and communities while maintaining sustainable growth.
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The company emphasizes teamwork and collaboration across global teams, enabling employees to work on high-impact projects that influence business outcomes and customer experiences.
Profile Overview
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The Business Analyst – Data Analytics role revolves around leveraging data-driven approaches to strengthen business strategies.
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The role demands a combination of technical expertise, statistical understanding, and business acumen to solve practical problems.
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Analysts in this position will study customer behaviors, industry trends, and competitive environments to generate actionable insights.
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The role is closely tied to partner negotiations, product enhancements, and loyalty program development.
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Responsibilities include identifying opportunities for new partnerships, curating business development pipelines, and providing analytics-based recommendations.
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The position requires strong programming skills and the ability to use tools such as SQL, SAS, and other big data techniques to analyze information.
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Analysts will present findings to leadership teams, cross-functional departments, and business partners, shaping overall product and partner strategies.
Qualifications
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Bachelor’s degree required, preferably in Statistics, Economics, Mathematics, Engineering, Finance, Computer Science, or other quantitative fields.
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Master’s degree in the same disciplines is desirable but not mandatory.
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Strong analytical and statistical foundation with working knowledge of machine learning, data mining, and research methods.
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Proficiency in programming and data analysis tools such as SAS, SQL, Python, and big data frameworks.
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Ability to extract insights from large datasets, connect them to business goals, and propose solutions.
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Strong written and verbal communication skills to effectively collaborate with product, business development, and leadership teams.
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Innovative thinking, adaptability, and eagerness to work in a fast-paced environment with evolving business needs.
Additional Info
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Employees benefit from competitive salaries and performance-based bonuses.
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Comprehensive health, dental, vision, and life insurance plans are provided depending on the employee’s location.
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Retirement support and financial wellness programs are offered to secure long-term stability.
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Flexible work arrangements with hybrid options are available.
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Paid parental leave policies and access to on-site wellness centers (in certain locations) support employee well-being.
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Programs like “Healthy Minds” offer confidential counseling services to employees and their families.
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Career development opportunities include training modules, mentorship, and leadership development programs.
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American Express ensures an inclusive environment and complies with all equal opportunity employment regulations.
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Employment is subject to successful completion of background verification checks.
Expanded Detailed Responsibilities and Insights
Core Responsibilities
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Building opportunity landscape:
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Identify new benefit partnerships that align with customer needs and company objectives.
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Analyze industries and merchant segments to assess potential value creation.
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Develop structured reports highlighting emerging opportunities for negotiation.
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Partner with internal teams to prioritize high-value collaborations.
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Supporting negotiations:
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Provide data-backed insights to strengthen negotiation arguments.
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Create customized presentations showing the financial and strategic value of proposed partnerships.
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Use historical data and customer analytics to showcase predicted benefits.
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Collaborate with business development executives during high-stakes discussions.
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Partner strategy and value creation:
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Study existing partner performance to refine strategies.
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Use customer segmentation and behavior analysis to demonstrate ROI for partners.
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Design models to predict customer engagement with new offers.
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Suggest innovative approaches for securing higher partner-sourced value.
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Advanced analytics for customer behavior:
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Leverage big data techniques to examine patterns in customer spending.
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Apply machine learning algorithms to forecast usage trends.
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Compare competitor offerings and assess how Amex can stay differentiated.
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Present insights through dashboards and reports tailored to leadership needs.
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MIS and performance tracking:
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Establish monitoring systems for partner benefit programs.
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Track KPIs across both Amex’s and partners’ perspectives.
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Highlight deviations in expected outcomes and suggest corrective measures.
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Build automated dashboards for real-time performance tracking.
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Proactive industry scanning:
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Regularly analyze market shifts and consumer behavior in emerging industries.
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Identify potential merchants for collaboration based on loyalty program alignment.
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Assess feasibility and fit of new business opportunities.
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Support long-term pipeline planning through structured opportunity mapping.
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Communication of insights:
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Share analytics-driven recommendations with Product Management teams.
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Collaborate with Lending leadership to influence product strategies.
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Align insights with broader corporate goals and customer value propositions.
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Ensure all data presentations are clear, actionable, and business-relevant.
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Skills & Competencies for Success
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Ability to merge technical analytics with business insights.
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Comfort with large datasets and structured problem-solving.
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Strong interpersonal communication for cross-team collaboration.
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Confidence in presenting findings to senior leadership.
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Innovative mindset to propose solutions beyond traditional analytics.
Employee Value Proposition
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Opportunity to grow within a global financial leader.
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Exposure to high-impact projects influencing customer loyalty and partnerships.
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Access to cutting-edge analytics tools and learning resources.
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Balanced work model enabling flexibility and collaboration.
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Comprehensive employee benefits covering financial, health, and personal well-being.
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Inclusion in a global community with strong ethical and professional standards.
Please click here to apply.
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