Company Description
Founded over 175 years ago, American Express has continuously evolved into a leading global financial services brand, renowned worldwide for its commitment to trust, innovation, and top-tier customer service.
The company operates with a strong risk-conscious mindset to protect its customers, communities, and colleagues while continuously delivering differentiated financial products and services across various markets.
American Express fosters an environment centered around shared values, dynamic leadership behaviors, and a strong culture of backing its people with comprehensive resources for personal and professional growth.
The organization places a huge emphasis on holistic employee well-being, offering robust global wellness centers, competitive health coverage, flexible working models, and extensive continuous learning opportunities.
As an employer, American Express is deeply committed to diversity, equity, and inclusion, ensuring that every colleague is seen, heard, valued, and empowered to make a meaningful business impact.
The culture thrives on collaboration, recognizing and rewarding contributions while providing career advancement paths across global networks, risk management domains, and strategic analytics teams.
American Express drives financial innovation by leveraging cutting-edge data science, analytics, and infrastructure to optimize customer experiences, cardmember acquisition strategies, and marketing investments.
Profile Overview
The Analyst - Data Analytics position resides within the Membership Science and Optimization division, a vital core unit responsible for advancing marketing strategies and growth initiatives.
This team actively drives U.S. Consumer Marketing expansion by creating high-impact strategies aimed at boosting cardmember acquisition, fostering engagement, and maximizing long-term customer value.
Members of this group leverage strategic analytics and scientific approaches to deliver tailored, highly relevant content across cardmembers' preferred communication and service channels.
The team acts as a central innovation driver, focusing heavily on increasing overall business revenue while significantly maximizing return on investment across multiple marketing channels.
What sets this team apart is its diverse talent base, multi-faceted operational scope, and expansive responsibility for launching groundbreaking growth initiatives for consumer card offerings.
As an Analyst, you will dive deep into consumer card marketing, applying rigorous statistical methodologies, data mining techniques, and quantitative analyses to address key business questions.
Day-to-day responsibilities involve synthesizing complex datasets into clear, actionable insights that help business partners identify revenue opportunities and optimize operational efficiency.
You will collaborate closely with cross-functional partners including Product Development, Marketing Operations, Finance, and Strategic Planning teams to turn insights into actionable initiatives.
The role demands a blend of hands-on technical analytics, critical problem-solving, strategic thinking, and clear presentation skills to influence key stakeholders across the organization.
Ultimately, this role serves as an exceptional starting point for early-career professionals seeking to build deep domain expertise in financial services, marketing analytics, and strategy.
Qualifications
Requires a educational background holding a Bachelor’s degree in Business, Economics, Statistics, Mathematics, Engineering, Finance, or a closely related quantitative field.
Candidates with a combined Master's degree or secondary professional qualification in a quantitative discipline are highly valued for this role.
Possesses between 0 to 1 years of relevant experience in data analytics, quantitative analysis, or business decision support roles.
Demonstrates exceptional problem-solving and critical-thinking abilities to deconstruct unstructured business problems into actionable analytical tasks.
Strong self-starter attitude with a proven track record of taking complete ownership of projects, pushing for execution, and driving tangible business results.
Excellent written, verbal, and interpersonal communication skills with the ability to convey technical findings clearly to non-technical business partners.
Hands-on experience and solid technical proficiency in database query languages and big data querying tools such as SQL, BigQuery, or Hive.
Proficient in using MS Office applications, particularly Microsoft Excel and PowerPoint, to organize data, build analytical models, and present findings effectively.
Solid understanding of statistical analysis methodologies, analytical frameworks, data visualization techniques, and data manipulation process flows.
Demonstrated ability to collaborate smoothly across multi-disciplinary, cross-functional teams while balancing multiple project deadlines effectively.
Additional Info
Offers a flexible working framework via a hybrid model, allowing colleagues to balance remote productivity with collaborative in-office interactions in Gurugram.
Provides a competitive compensation structure including strong base salaries, performance-based bonus incentives, and dedicated financial well-being programs.
Features broad medical, dental, vision, life, and disability insurance policies to support long-term physical and financial health for employees and dependents.
Delivers generous paid parental leave programs designed to support family integration and personal commitments across life milestones.
On-site wellness facilities staffed with licensed doctors and nurses provide accessible medical support directly at select company office locations.
Free and completely confidential mental health counseling services are provided globally through the specialized Healthy Minds employee assistance program.
Continuous professional development is fostered through structured career training programs, mentorship networks, and clear pathways toward long-term leadership.
Operates under strict equal opportunity guidelines, making employment decisions purely on merit without regard to race, gender, status, or background.
Final offers of employment remain contingent upon the candidate successfully completing standard background verification checks in accordance with applicable laws.
Position falls under the Analytics & Risk Management category within the Data Management and Analytics job family under Requisition ID 26011604.
Please click here to apply.
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