What are the responsibilities and job description for the Senior Manager-Data Analytics position at American Express?
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 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.
As digital commerce becomes increasingly vital in our Card Members daily lives, we seek an experienced analytics professional to be part of a team which is critical to ongoing success in this space. The Commerce & Wallet Analytics Manager will lead a team providing analytical insights and support for Commerce and Wallet Products (Contactless Card, Digital Wallets, Online Payment Products), and Marketing teams globally. This leader will collaborate with core partners and data teams to drive initiatives that grow product adoption and drive billings across all markets.
The role requires a strong analytical focus, and the successful candidate is encouraged to exhibit expertise in understanding and structuring data and drawing meaningful insights and guiding strategy through statistical analysis, design of experiments, or decision support logic.
Responsibilities:
- Extract insights from complex data using SQL or Python in a Cloud Platform. Provide the results in actionable, simple, and impactful formats to business partners in Product and Marketing.
- Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity.
- Partner with Product partners to develop analytics to improve their products, including customer behavior/usage studies, complex product diagnostic analyses, and other data/analytics as requested which will be used to drive larger team’s decision strategy and project requirements.
- Apply experiment design approach in context of optimizing the Point-of-Sale experience and identifying the strategy that can deliver best on both business goals and customer experience.
Qualifications:
- Experience manipulating large and complex tables or data sets with SQL or Python.
- Curiosity and passion for dealing with large amounts of data and converting it into valuable, actionable information.
- Experience with statistical design of experiments, A/B, and multivariate testing.
- Experience with machine learning modeling techniques.
- Quantitative and qualitative analytical skills with the ability to utilize logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
- Strong strategic thought leadership and problem-solving skills with ability to solve unstructured and complex business problems.
- Strong written and verbal communication skills, and ability to distill complex findings into simple and clear messages.
- Knowledge of Point-of-Sale transaction processes and associated data for authentication, authorization, submission, settlement, etc. will be an advantage.
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
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
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- 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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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Salary : $90,000 - $165,000
