Analyst-Data Analytics

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.

Description:

The Analytics, Investment and Marketing Enablement (AIM) team – a part of GCS Marketing Organization – is the analytical engine that enables the Global Commercial Card business. The team drives Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.

This B30 role would be a part of AIM India team, based out of Gurgaon, and would be responsible for proactive retention and save a card analytics across the SME segment across marketing and sales distribution channels. This critical role represents a unique opportunity to make charge volume impact of 2+ Billion.

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.

Key Responsibilities include:

• Develop/enhance precursors in AI models partnering with Decision science and collaborate across Marketing, Risk, and Sales to help design customized treatments depending upon the precursors.
• Be a key analytical partner to the Marketing and Measurement teams to report on Digital, Field and Phone Programs that promote growth and retention.
• Support and enable the GCS partners with actionable, insightful analytical solutions (such as triggers, Prioritization Tiers) to help the Field and Phone Sales team prioritize efforts effectively.
• Partner with functional leaders, Strategic Business Partners, and Senior leaders to assess and identify opportunities for better customer engagement and revenue growth.
• Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
• Exceptional execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks.
• Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.
• High degree of organization, individual initiative, and personal accountability

Minimum Qualifications:

• Strong programming skills & experience with building models & analytical data products are required. Experience with technologies such as Java, Big Data, PySpark, Hive, Scala, Python
• Proficiency & experience in applying cutting edge statistical and machine learning techniques to business problems and leverage external thinking (from academia and/or other industries) to develop best in class data science solutions.
• Excellent communication and interpersonal skills, and ability to build and retain strong working relationships.
• Ability to interact effectively and deliver compelling messages to business leaders across various band levels.

Preferred Qualifications:

• Good knowledge of statistical techniques like hypothesis testing, regression, knn, t-test, chi-square test
• Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, technology teams and external vendors to deliver solutions at top speed.
• Experience with commercial data and ability to create insights and drive results.

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.