As a Data Science Analyst at American Express, you will be part of the Customer Growth Marketing Analytics team and will be responsible for performing strategic analyses, building frameworks, synthesizing conclusions, and communicating recommendations to partners. You will work closely with functional analytics and finance teams to drive internal acquisitions with increased and sustainable engagement levels.
American Express is a 175-year-old company that operates with a strong risk mindset, ensuring it continues to uphold its brand promise of trust, security, and service. The company's culture is built on innovation, shared values, and leadership behaviors, and it is committed to backing its customers, communities, and colleagues.
Why required: Hive is required to manage and analyze large datasets, which is essential for driving strategic decision-making in the company.
How recruiters evaluate: The recruiter will evaluate your ability to write efficient Hive queries and manage large datasets.
Why required: Python is required for data manipulation and statistical modeling, which is essential for building key decision frameworks.
How recruiters evaluate: The recruiter will evaluate your ability to write efficient Python code and apply statistical modeling techniques.
Why required: PySpark is required for large-scale data processing, which is essential for driving strategic decision-making in the company.
How recruiters evaluate: The recruiter will evaluate your ability to write efficient PySpark code and manage large datasets.
Why required: SQL is required for managing and analyzing relational databases, which is essential for driving strategic decision-making in the company.
How recruiters evaluate: The recruiter will evaluate your ability to write efficient SQL queries and manage relational databases.
Why required: Microsoft Excel is required for data analysis and visualization, which is essential for communicating recommendations to partners.
How recruiters evaluate: The recruiter will evaluate your ability to create efficient Excel models and visualize data effectively.
Why required: PowerPoint is required for presenting findings and recommendations to partners, which is essential for driving strategic decision-making in the company.
How recruiters evaluate: The recruiter will evaluate your ability to create effective PowerPoint presentations and communicate complex ideas simply.
Freshers with a Master's degree in a quantitative field and strong analytical skills can apply for this role.
Experienced professionals with expertise in Hive, Python, PySpark, SQL, and Microsoft Excel can apply for this role.
Graduates with a degree in a quantitative field and strong analytical skills can apply for this role.
B.Tech graduates with a degree in a quantitative field and strong analytical skills can apply for this role.
MCA graduates with a degree in a quantitative field and strong analytical skills can apply for this role.
Diploma holders with a degree in a quantitative field and strong analytical skills can apply for this role.
The average salary for a Data Science Analyst in the industry is ₹12-18 lakhs per annum.
The average salary for a fresher Data Science Analyst is ₹8-12 lakhs per annum.
The average salary for an experienced Data Science Analyst is ₹18-25 lakhs per annum.
The salary for a Data Science Analyst can grow up to ₹30 lakhs per annum with experience and skills.
A senior data science analyst will lead a team of data analysts and will be responsible for developing and implementing data-driven solutions.
A data science manager will lead a team of data scientists and will be responsible for developing and implementing data-driven strategies.
A director of data science will lead a team of data science managers and will be responsible for developing and implementing data-driven strategies across the organization.
This course will help you develop your skills in Python and data science.
This course will help you develop your skills in Hive and data analysis.
This course will help you develop your skills in data visualization.
To succeed in this role, you need to have strong analytical skills, be able to communicate complex ideas simply, and have expertise in Hive, Python, PySpark, SQL, and Microsoft Excel.
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Analyst-Data Science
Gurugram, HR, India (Hybrid)
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Job Description
The ‘Customer Growth Marketing Analytics’ team is part of the Analytics, Investment and Marketing enablement (AIM) group within GCS (Global Commercial Services) Marketing at American Express. This team is responsible for leading innovative analytics across Marketing channels for the US SME segment to drive internal acquisitions with increased and sustainable engagement levels.
The analyst will be responsible for performing strategic analyses, build frameworks, synthesizing conclusions, and communicating recommendations to partners. She/he will be responsible for building key decision frameworks aimed at driving robust targeting and investment optimization. The ideal candidate is able to drive strategic decision making and execute new strategies via advanced analytics, disciplined test & learn, effective storytelling and partnerships. The position is part of a highly collaborative environment and the Analyst will partner closely with functional (channel specific) analytics and Finance teams based out of NY
Responsibilities
Partner closely with Finance and US Consumer to align on the Cardmember value (CMV) framework to ensure consistency across BU (US Consumer Services)
Collaborate with finance to create robust behavioral inputs for investment optimization and targeting iCMV
Understand the cardmember value framework for internal acquisitions and independently drive enhancements and optimizations on the same
Partner with channel owners in the NY team to drive enhancements via levers such as Orchestra and learn to optimize channel ROI
Exceptional execution skills, be able to resolve issues, identify opportunities, and define success metrics and make things happen.
Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
Qualifications
Strong analytical/conceptual thinking acumen to solve business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner
Ability to project-manage effectively and manage several concurrent projects through collaboration across teams.
Expertise in Hive, Python, PySpark, SQL encompassing data manipulation and statistical modeling/data-mining techniques and Microsoft Excel & Power point.
Excellent communication and interpersonal skills, and ability to build and retain strong working relationships
Demonstrated ability to work independently and across a matrix organization partnering with cross-functional teams and external vendors to deliver solutions at top speed
Master’s degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field preferred
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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our 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.
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 salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive 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 need
Generous 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 program
Career 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.
Job Info
Job Identification
26011481
Job Category
Data Mgmt and Analytics
Posting Date
07/27/2026, 01:17 PM
Apply Before
08/04/2026, 12:00 AM
Degree Level
Bachelor's Degree
Job Schedule
Full time
Job Shift
Day
Locations
AMEX Sub Tehsil Kadipur, Gurugram, HR, 122004, IN
(Hybrid)
Career Area
Analytics & Risk Management
