Senior Manager - Data Analytics

American Express Company
New York, NY, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$123,000.0 - $215,250.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Data Mining Python (Programming Language) Machine Learning Performance Tuning SQL Databases Data Analytics

Job description

  • Help deliver world class credit card products and influence value proposition and membership strategy through data analytics.
  • Use advanced analytics to study customer behavior and deliver actionable recommendations for strategic decision making.
  • Communicate insights to U.S. Consumer Card leadership team and cross-functional partners to shape Co-Brand portfolio strategy.
  • Develop strong relationships with internal partners to understand and help frame key business problems.

Requirements

  • Bachelor’s degree required and Master’s degree preferred in the following areas: Analytics, Business Administration, Statistics, Mathematics, Physics, Engineering, Data Science, Quantitative Economics, or related quantitative fields.
  • 3 plus years professional experience driving performance optimization through the application of advanced decision sciences.
  • Strong hands-on expertise using big data programming languages to manipulate large-scale datasets and perform statistical analysis (e.g. SQL, Python, and Big Data analytic techniques).
  • A good balance of technical knowledge and business acumen with a proven track record of driving innovation and business metrics with a customer-first mindset.
  • Ability to understand data and synthesize it into real-world meaning., * Strong critical thinking abilities and analytical skills, with an innovative approach to solving practical problems.
  • Superior strategic thought leadership.
  • Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities.
  • Sound knowledge of Machine learning algorithms, statistics, data mining, regression, and research methods.
  • Good understanding of card economics with proven success in driving business results via strategic analysis.
  • Exceptional verbal, written, and interpersonal communication skills - enjoys working as part of a larger team and fostering relationships.

Benefits & conditions

Salary Range: $123,000.00 to $215,250.00 annually + bonus + benefits

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

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

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.

About the company

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 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.

The U.S. Consumer Services Team is responsible for our suite of consumer products, services, and experiences in the U.S., including our premium, cobrand, cash back, and lending portfolios. The USCS team is focused on making membership an indisputable competitive advantage and helping each other become better leaders every day.

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