Analyst-Data Science

Job Description

At American Express, our culture is built on a 175-year history of innovation, sharedand 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 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

How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you're finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.

The Analytics, Investment & Marketing enablement (AIM) team - is the analytical engine that enables the Global Commercial Services (GCS) card business. The team drives Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.

About the Role

This Analyst - Data Science role, based out of India, part of AIM team would be responsible for US Prospect Analytics for sales channels. The incumbent will be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners aimed at driving revenue through prospect acquisitions. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service's business at American Express. The role will require the incumbent to drive not only sophisticated analysis but also heavy partner management through thought-leadership.

A very important focus for the role shall be quantitatively determining the value, deriving insights, and then assuring the insights are leveraged to create positive impact that cause a meaningful difference to the business. This B30 will support the B35 and would serve as a key interface between various partners - the functional channel owners, the business partners and end-users of analytical solutions and technology partners.

Key Responsibilities include:

• Spearheading analytics to drive commercial acquisitions in sales channels for US market using GenAI, data science, big data capabilities and advanced analytical techniques.

• Enable decision making across channels and markets by exploring big data and advanced analytics techniques which includes creating segmentation logic, prompt engineering, traditional ML techniques for prioritization of leads and lead intelligence arbitration.

• Support and enable the GCS partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.

• A self-initiator who is quick to understand the business and support pilot projects amidst ambiguity.

• Independently manage cross-collaboration among marketing, sales, capabilities, and modeling teams to ensure analytics and data science-based strategies are appropriately incorporated and timely deployed / tracked.

• Exceptional execution skills - be able to resolve issues, find 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.

• Willingness to challenge the status quo breakthrough thinking to generate insights, alternatives, and opportunities for business success.

Minimum Qualifications

• 0-3 years of experience in relevant domain.
• Degree in a quantitative field preferred - e.g. B. Tech BSc/MSc Statistics, Bachelors/master's in economics
• Knowledge of Hive, Python, PySpark, SQL, ChatGPT encompassing data manipulation and statistical modeling/data-mining techniques and knowledge of decision trees
• Strong analytical skills: Applying analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions. Drive insights and recommendations on marketing and product solutions.
• Know-how of GenAI techniques to automate and innovate on current processes and should be able to integrate GenAI techniques with current business solutions to drive marketing efficiency.
• Strong communication skills enabling ability to interact effectively with business leaders and to present structured and compelling messages addressed to various levels within the organization
• Team player: Able to collaborate with partners and team members to define key business objectives, and to align on solutions that drive actionable items
• Passion for data science and machine learning: Proven track record of independently developing novel analytical solutions optimizing business processes or product constructs

Preferred Qualifications:

• Experience in Advanced GenAI techniques, marketing/acquisition analytics/data science relevant industry experience preferred

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.