Exciting Data Science Opportunities at American Express – Embrace Hybrid Work!
If you’re looking for a challenging and rewarding career in data science, American Express has an exciting opportunity just for you! As a leader in financial services, American Express is seeking talented individuals to join their Data Science team. This role not only offers the chance to work with cutting-edge technologies but also allows you to contribute to strategic decision-making in a collaborative environment. With a focus on customer behavior and marketing analytics, you’ll be at the forefront of driving insights and business results. Whether you’re an experienced professional or a fresh graduate with a degree in a quantitative field, this hybrid position in Gurugram, Haryana could be the perfect fit for you. Discover how you can leverage your skills to make a substantial impact at American Express!
Key Job Details
- Company: American Express
- Position: Analyst – Data Science
- Location: Gurugram, Haryana, India (Hybrid)
- Employment Type: Full Time
- Education Requirement: Degree in a quantitative field (Finance, Engineering, Mathematics, Computer Science, or Economics)
- Skills Required: Strong programming skills (SQL & Python), experience with Big Data programming, and Business Intelligence tools (Power BI & Tableau is a plus)
- Date Posted: September 8, 2025
- Salary Package: As per Company Standards
About the Role
The Analyst – Data Science position at American Express is a vital role within the Data Science team, focused on leveraging data analytics to drive business performance. In this hybrid role, you will partner closely with the Global Commercial Services (GCS) Marketing teams to analyze customer behavior and measure the impact of marketing initiatives. Your responsibilities will include portfolio analytics, campaign measurements, and providing actionable insights to enhance marketing strategies. You will be expected to create marketing tracking dashboards that facilitate strategic decision-making, ensuring that insights are communicated effectively to leadership.
This role requires a strong technical foundation, as you will apply quantitative methods to derive insights from complex datasets. You will work independently and collaboratively across various teams, making it essential to possess excellent communication skills to engage and influence stakeholders. The ability to prioritize and manage multiple projects will be critical, as you support business partners with ROI analysis and data-driven insights. This position not only offers the chance to grow your technical skills but also provides a platform to challenge the status quo and contribute to innovative solutions within the organization.
Required Skills
- Technical Proficiency: Strong programming skills in SQL and Python are essential for processing and analyzing large datasets. Familiarity with Big Data programming and Business Intelligence tools like Power BI and Tableau will enhance your ability to deliver insights.
- Analytical Skills: You should possess strong analytical skills to apply quantitative methods effectively, enabling you to derive actionable insights that drive business results.
- Communication Skills: Excellent verbal and written communication skills are necessary to engage with stakeholders and present findings clearly.
- Project Management: The ability to manage several concurrent projects through collaboration across teams and geographies is crucial to success in this role.
- Problem-Solving: A willingness to challenge existing processes and think critically to generate alternatives and opportunities for business success.
Responsibilities
- Conduct portfolio and campaign measurements to identify trends and insights that inform marketing strategies.
- Create and maintain marketing tracking dashboards for effective reporting and communication with leadership.
- Support GCS Marketing partners with actionable analytical solutions that drive business performance.
- Deliver accurate, timely monthly results reporting for marketing leadership.
- Engage with cross-functional teams to prioritize projects and align on business objectives.
- Drive automation and ongoing refinement of analytical frameworks to improve efficiency.
Why Join American Express
American Express is not just a leader in financial services; it is also known for its commitment to employee well-being and professional growth. The company offers competitive base salaries, bonus incentives, and comprehensive benefits including medical, dental, vision, life insurance, and disability benefits. Employees enjoy a flexible working model, enabling hybrid, onsite, or fully virtual arrangements based on business needs. With generous paid parental leave policies and access to global wellness centers, American Express fosters a supportive environment that prioritizes work-life balance.
Moreover, the company emphasizes career development and training opportunities, empowering employees to enhance their skills and advance their careers. By joining American Express, you will be part of a dynamic team that values collaboration and innovation, making it an ideal place to build a fulfilling career.
Industry Trends and Value of the Position
The demand for data science professionals is rapidly increasing, especially in the financial services industry. As companies strive to leverage data for strategic advantages, roles like the Analyst – Data Science at American Express become invaluable. In 2025, data-driven decision-making is essential for businesses to remain competitive, making this position not only relevant but also critical for success in today’s market. By applying your skills in data analytics, you’ll play a key role in shaping marketing strategies and enhancing customer experiences, positioning yourself at the forefront of industry trends.
How to Apply
If you’re ready to take the next step in your career and join a renowned organization that values data-driven insights, consider applying for the Data Science Job Openings at American Express – WFH(Hybrid). This is your opportunity to contribute to impactful projects while working in a flexible environment.
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