Gurgaon, Haryana
1 day ago
Analyst-Data Analytics (Python and Machine Learning)

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

The Analyst would be responsible for assisting the sales and account development teams in their B2B/ Goods & Services sales journey. The incumbent would be a consultative partner providing data driven insights to help identify best fit payment solutions and recommend strategic improvement actions. If you crave dynamic, intellectually stimulating, and collaborative environment; if you have a passion for solving business problems & client pain points; if you love story telling with data – this gig is for you!

Responsibilities:Create and drive data driven strategies for aggregated accounts-payable analytics that enable GCS field teams and leadership to drive Goods & Services (G&S) spend.Leverage SQL, Python, Tableau and similar tools to generate actionable insightsDevelop and deploy analytical solutions by identifying trends, synthesizing complex datasets, and creating clear, compelling visualizations and data stories.Address both long-term analytical needs and rapid-turnaround requests with accuracy and efficiency.Partner with stakeholders to deeply understand business goals, customer needs, and operational challenges.Identify innovative ways to utilize existing data assets and analytical capabilities to meet evolving business requirements.Own project delivery from scoping through execution, ensuring strong project prioritization, milestone tracking, risk management, and stakeholder communication.Provide consistent updates, surface insights, and ensure deliverables meet agreed timelines and quality expectations.Influence cross-functional decision-making by presenting data-backed recommendations in a clear, business-friendly manner.Deep understanding of Risk & Compliance frameworks, enabling proactive risk identification and the execution of mitigation strategies that uplift process controls and operational effectiveness.Minimum QualificationsSeasoned Professional with 4-6 years of experience in data analytics, visualization, and storytelling4 + years of hands-on experience using SQL, Hive, Python and working with APIs to extract, transform and analyze complex datasets.Ability to work with large, complex and multi-source datasets, leveraging analytical techniques to uncover trends and drive business insightsStrong understanding of B2B ecosystems, with exposure to B2B payments; experience with procurement and/or accounts payable/receivable data is strongly preferred.Bachelor’s degree required; Master’s degree in Analytics, Finance, Commerce, Statistics, Business, or a related quantitative field is preferred.Preferred QualificationExcellent in data analytics including programming (Python, LUMI) and insights. Knowledge of Gen AI & advanced statistics is preferred.Proactive, self-starter with excellent stakeholder engagement skills and ability to manage multiple tasks effectively.Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salariesBonus incentivesSupport for financial-well-being and retirementComprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)Flexible working model with hybrid, onsite or virtual arrangements depending on role and business needGenerous paid parental leave policies (depending on your location)Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)Free and confidential counseling support through our Healthy Minds programCareer development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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