Company description
American Express is a renowned global financial services institution with a rich history of over 175 years centered on continuous innovation, unwavering trust, and customer satisfaction.
The company delivers premium financial products, credit cards, and world-class merchant acquisition services, backing millions of consumers and business partners worldwide.
At the heart of Team Amex is an inclusive, growth-oriented culture that empowers professionals through robust holistic well-being offerings and leadership training.
Amex fosters a collaborative work ecosystem built on strong ethical standards, a solid risk management mindset, and a focus on community impact.
Employees benefit from a flexible hybrid workplace model that balancing high-impact career development with comprehensive personal and financial health support.
The organisation continuously invests in modern technology, data science platforms, and advanced analytics solutions to drive global strategic decision-making.
As a global industry leader, American Express offers early-career talent the chance to solve complex business challenges with multi-functional teams globally.
The organization remains dedicated to diversity, equity, and equal employment opportunity across all operational regions.
Profile overview
The Global Network & Partner Business (GNPS) Analytics team is looking for an analytical professional to act as a strategic advisor for global bank partners and internal decision-makers.
This role involves working closely with multi-functional teams including Business Development, Marketing, Finance, and Risk to drive growth and operational efficiency.
The primary mandate is to design, develop, and deploy cutting-edge analytical models, algorithmic tech solutions, and business profiling frameworks to enable data-backed decision-making.
The candidate will analyze large-scale payment networks and transaction datasets to diagnose performance hurdles, evaluate strategy outcomes, and discover new market opportunities.
Responsibilities include conceptualizing, implementing, and scaling automated enterprise data solutions that solve critical financial and operational challenges.
The role demands converting complex technical outputs into compelling stories, structured presentations, and actionable recommendations for senior leadership and global partners.
Professionals in this position will work across diverse geographic markets to create innovative consultative tools tailored to key financial institutions.
Candidates will systematically track, measure, and optimize marketing campaigns, risk management measures, and strategic growth roadmaps.
The selected individual will operate in a dynamic, high-velocity environment requiring strong attention to detail and agile problem-solving methodologies.
The position offers extensive opportunity to expand the footprint of machine learning, statistical modeling, and data science throughout global payment networks.
The analyst will establish robust key performance indicators (KPIs) to continuously evaluate business impact, revenue pipelines, and merchant acquisition velocity.
Cross-functional collaboration and clear communication will be daily drivers in aligning complex technical deliverables with broader corporate objectives.
Qualifications
Requires 0 to 3 years of hands-on professional domain experience within data analytics, business intelligence, or quantitative analysis.
Proven proficiency in leveraging structured query language (SQL) for complex data extractions, complex join operations, and large-scale data manipulation.
Demonstrated hands-on expertise with cloud-based data warehouses, specifically utilizing Google BigQuery for big data analytics.
Practical knowledge and coding experience in Python for data wrangling, automation, modeling, and statistical evaluation.
Exposure to big data processing frameworks like PySpark for handling large volume distributed data structures efficiently.
Strong capabilities in creating data visualizations, management dashboards, and interactive reporting solutions using Tableau.
Experience or familiarity with internal analytical environments and querying frameworks such as Lumi.
High degree of intellectual curiosity combined with meticulous attention to detail and an exceptional capability to learn emerging technologies rapidly.
Solid track record of solving multi-faceted business problems by analyzing raw data, formulating hypotheses, and deploying algorithmic logic.
Highly developed interpersonal and communication skills, with the ability to convey complex data concepts to non-technical partners.
Excellent technical writing, executive presentation, and business storytelling abilities suited for interacting with executive decision-makers.
Proven ability to manage multi-stream analytical projects concurrently within fast-paced enterprise environments.
Strong relationship-building skills and the confidence to challenge standard operational paradigms through data-driven reasoning.
Ability to demonstrate strong business acumen, intuition, and logical reasoning to influence cross-border colleagues and external financial institutions.
Additional info
The job is hosted under the Corporate Functions career area within the Data Management and Analytics category at American Express.
The workspace is situated at AMEX Building No 5, Tower B & C, 11th Floor, Gurgaon, HR, 122002, India, following a hybrid work model.
The position operates on a full-time, day-shift schedule, offering a highly competitive base salary alongside performance-linked bonus incentives.
American Express provides holistic backing, including comprehensive medical, dental, vision, life, and disability insurance coverage.
Employees gain access to free global on-site wellness facilities complete with professional healthcare staff, nurses, and doctors.
Dedicated mental health support is provided confidentially through the company's Healthy Minds employee assistance program.
Flexible working policies are offered to maintain strong work-life balance, complemented by generous paid parental leave programs.
Extensive opportunities for continuous learning, technical upskilling, and leadership advancement are accessible across global career pathways.
Retirement savings plans, financial planning resources, and robust financial well-being benefits are key components of the compensation structure.
American Express strictly enforces an equal opportunity framework, evaluating candidates without regard to demographic background, status, or identity.
Offers of employment remain subject to the successful completion of background verification checks in compliance with local regulations.
Accommodation requests for candidates with special needs or disabilities are supported throughout the entire recruitment process.
Please click here to apply.
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