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

Position:

• Analyst, Data Analytics

• Focused on Forecasting within Global Capacity and Contact Management (GCCM)

• A data-driven role that combines statistical analysis, predictive modeling, and business impact

Company:

• American Express

• Global leader in financial services, payments, and customer experience solutions

• Known for pioneering innovation and customer backing for more than 175 years

Location:

• Gurugram, Haryana, India

Job type:

• Full-time

Job mode:

• Hybrid, combining in-office collaboration with remote flexibility

Job requisition id:

• 25015468

Years of experience:

• 0 to 3 years of professional experience accepted

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Company description

• American Express is one of the most recognized and respected companies in the world, known for setting benchmarks in financial services and customer loyalty programs.

• For more than 175 years, the company has stood at the intersection of innovation, reliability, and customer centricity.

• The organization provides a range of offerings such as credit cards, charge cards, prepaid services, digital financial products, travel-related services, and customized solutions for businesses and institutions.

• Beyond products, American Express has earned a reputation for backing customers at every step, whether through premium service, security, or innovative solutions that simplify financial lives.

• The company has consistently embraced change and disruption in the financial sector, evolving from physical card services to advanced data-driven digital solutions.

• Its global presence spans across regions and markets, creating opportunities for employees to work on complex, high-impact projects that influence millions of customers.

• A core part of its identity is its people-focused culture, emphasizing inclusion, collaboration, and leadership development.

• At American Express, employees are seen as partners in growth. Each individual is empowered to contribute ideas, challenge the status quo, and lead initiatives.

• Learning is considered a continuous journey, with structured training, mentorship, and exposure to cutting-edge technology being part of every career path.

• The company has a deep commitment to employee well-being, reflected in robust benefits that address physical, financial, and mental health needs.

• The flexibility in working models ensures that employees can achieve a balance between personal life and professional goals without compromising either.

• American Express has also been recognized for its diversity, equity, and inclusion efforts, ensuring that every employee has equal access to growth, irrespective of background, identity, or personal circumstances.

• Globally, the brand is associated with trust, prestige, and reliability, qualities that are equally extended to its employees, partners, and stakeholders.

• For those who join the company, it represents an opportunity not only to build a career but to become part of a legacy of excellence and continuous reinvention.

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Profile overview

• The Analyst position is part of the Forecasting Team within the Global Capacity and Contact Management (GCCM) function.

• The Forecasting Team plays a crucial role in ensuring smooth customer service operations by accurately predicting customer demand.

• The main responsibility of this unit is to forecast daily call volumes and handle times for major American Express products. These forecasts directly influence capacity planning, staffing schedules, and the ability to meet customer needs effectively.

• Accurate predictions allow the organization to balance three key priorities: customer satisfaction, employee experience, and shareholder goals.

• The scope of the team extends across the US market as well as global service networks, making it a central player in shaping operational efficiency.

• Analysts are expected to design, test, and implement models that can predict both short-term fluctuations and long-term demand trends.

• The role involves leveraging multiple complex datasets to extract insights, identify patterns, and provide actionable recommendations.

• Analysts support senior leadership by preparing automated dashboards and reports that simplify large volumes of information into clear, decision-ready visuals.

• This position also demands active participation in ad-hoc studies, which may involve investigating sudden spikes in customer contact, shifts in behavior, or emerging service trends.

• Cross-functional collaboration is a core part of the role. Analysts regularly engage with Finance, Scheduling, Real-Time Optimization, and Reengineering teams.

• The dynamic nature of the work makes it ideal for professionals who enjoy combining technical expertise with business influence.

• For those with a passion for analytics, predictive modeling, and real-world business applications, the profile offers exposure to advanced tools, methodologies, and high-stakes decision-making.

• By contributing to the Forecasting Team, an Analyst becomes instrumental in shaping the customer journey and driving efficiencies across American Express’s service ecosystem.

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Qualifications

• Strong foundation in analytics, econometrics, and problem-solving, enabling effective solutions to complex and ambiguous business problems.

• Experience or exposure to working with large, high-volume datasets, with the ability to extract patterns, trends, and meaningful narratives.

• Technical proficiency with programming languages such as SQL and Python, which are required to query, manipulate, and analyze datasets.

• Familiarity with data visualization platforms and reporting tools, allowing the creation of intuitive dashboards and automated reports.

• Strong written and verbal communication skills, necessary for explaining technical insights to non-technical stakeholders and senior leaders.

• Ability to engage with and influence cross-functional teams across Finance, Scheduling, Real-Time Optimization, and Capacity Planning.

• Knowledge of Hive, SQL, or similar data platforms is desirable for large-scale querying and analysis.

• Exposure to machine learning techniques, including the use of advanced algorithms and neural networks for predictive modeling, is an added advantage.

• Ability to balance multiple priorities, manage projects independently, and deliver under tight timelines.

• A proactive attitude to continuous learning, keeping up with new technologies and methodologies in analytics.

• Advanced academic credentials are desirable. Candidates with postgraduate qualifications in Statistics, Economics, Applied Economics, or Business Analytics will have an edge.

• A Master’s degree is preferred, as it indicates deeper specialization and training in analytical methods and statistical modeling.

• The role is designed for early-career professionals, making it suitable for candidates with 0 to 3 years of experience who are eager to grow in the analytics space.

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Additional info

• Compensation includes competitive salaries that reflect the company’s market leadership, as well as bonus structures tied to individual and team performance.

• Financial well-being is supported through retirement plans, savings programs, and access to financial advice and tools.

• Comprehensive insurance coverage includes medical, dental, vision, life, and disability benefits, with specific availability depending on employee location.

• Work flexibility is a hallmark of the organization, with hybrid, onsite, or virtual arrangements offered based on role and business need.

• Paid parental leave policies are generous, ensuring employees can care for their families without financial stress.

• On-site wellness centers are available in certain locations, staffed with qualified doctors and nurses to promote holistic health.

• Mental well-being is supported through programs like Healthy Minds, offering confidential counseling and stress-management support.

• Employees benefit from extensive career development opportunities, including structured training, leadership pathways, mentorship programs, and access to global learning resources.

• The company culture values inclusion and equality. Decisions are made without bias related to gender, race, religion, sexual orientation, national origin, disability, or age.

• Joining American Express means becoming part of a global network that values ideas, innovation, and continuous improvement.

• Employment offers are contingent on successful background checks and adherence to applicable local laws and regulations.

• Candidates with special needs are encouraged to request accommodations, with the company ensuring fair support throughout the recruitment process.

Please click here to apply.