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Senior Managers, Data Analytics - job 2 of 4

American Express Company seeks Senior Managers, Data Analytics to analyze market trends and data to identify growth opportunities within the existing portfolio and with new lines of business. Perform growth strategy development for the business, identifying new spend opportunities and driving spend on card portfolios. Contribute to strategy execution for new business opportunities within an existing portfolio of accounts, prioritizing efforts across the portfolio. Track performance of portfolio of early-tenure customers, high-potential customers, and/or high-spending customers, marketing to and engaging customers by linking their business priorities to American Express’s value proposition. Contribute to purchase decisions, and track to ensure spend is captured. Liaise and coordinate with internal business partners, including sales support resources, to optimize the client and customer experience, contributing to growth on new and existing portfolios.

Position requires a Master’s degree in Business Administration, Finance, Marketing, Economics, Management Science and Engineering, Statistics, or a related field, and 1 year of experience with data and business analysis. Experience must include 1 year of experience with each of the following: performing data analysis to gain organizational insights and identify cost reductions; and time-series analysis using statistical techniques and tools; leveraging MS Excel to structure data and generate models and reports; utilizing MS Excel, SQL, and big data platforms to structure data and generate models and reports; performing data analysis and forecasting using MS Excel, SAS, predictive models, and machine learning tools; and with programming using Hive, Python, R, SAS, SQL, and VBA. Telecommuting is available up to 2 days per week.

Job Location: New York, NY   

Salary Range: $111,966.00 to $165,000.00 annually

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • 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 
  • 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.

US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement.

If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location.

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Average salary estimate

$138483 / YEARLY (est.)
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$111966K
$165000K

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What You Should Know About Senior Managers, Data Analytics, American Express

Join American Express as a Senior Manager in Data Analytics, where you will dive deep into analyzing market trends and data to uncover exciting growth opportunities both in our existing portfolio and in new lines of business. Your role will be vital in crafting growth strategies that identify new spending opportunities and drive engagement on our card portfolios. Working closely with a diverse range of business partners, you will contribute to the execution of strategies that optimize customer interactions and meet business priorities. You'll be tracking the performance of various customer segments, ensuring we’re providing the right marketing to early-tenure, high-potential, and high-spending customers by linking their needs to the incredible value propositions we offer. If you’re passionate about data analysis and enjoy leveraging tools like MS Excel, SQL, and Python, amongst others, to generate impactful insights and drive decision-making, this role may be the perfect fit for you. At American Express, we value holistic well-being and actively support our colleagues with competitive salaries, bonus incentives, and comprehensive benefits that promote physical, financial, and mental health. With the flexibility of telecommuting options and a supportive work culture, you’ll have the opportunity to thrive both personally and professionally in New York City.

Frequently Asked Questions (FAQs) for Senior Managers, Data Analytics Role at American Express
What are the main responsibilities of a Senior Manager, Data Analytics at American Express?

As a Senior Manager, Data Analytics at American Express, your primary responsibilities include analyzing market trends to identify growth opportunities, developing growth strategies for the business, and optimizing customer experiences through data-driven insights. You will work with business partners to enhance engagement across our portfolios, track performance, and contribute to strategic execution.

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What qualifications do I need for the Senior Manager, Data Analytics position at American Express?

To qualify for the Senior Manager, Data Analytics role at American Express, you need a Master’s degree in fields such as Business Administration or Statistics, along with at least one year of experience in data and business analysis. Proficiency in MS Excel, SQL, and statistical methods, as well as familiarity with programming languages like Python and R, are essential.

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How does the Senior Manager, Data Analytics role support business growth at American Express?

In the Senior Manager, Data Analytics role at American Express, your work directly impacts business growth by identifying new spending opportunities and optimizing strategies to increase customer engagement. You'll be using data analysis to drive decisions and evaluate the effectiveness of marketing and growth strategies.

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Is telecommuting an option for the Senior Manager, Data Analytics position at American Express?

Yes, the Senior Manager, Data Analytics position at American Express offers telecommuting options for up to two days per week, providing a balance between work and personal life while ensuring productivity in a supportive environment.

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What benefits does American Express provide for Senior Managers, Data Analytics?

American Express provides a comprehensive benefits package for Senior Managers, Data Analytics, including competitive salaries, bonus incentives, retirement savings plans with company matching, medical and dental insurance, extensive parental leave policy, wellness programs, and career development opportunities.

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Common Interview Questions for Senior Managers, Data Analytics
Can you describe your experience with data analysis tools for the Senior Manager, Data Analytics role?

When answering this question, highlight your proficiency in tools like Excel, SQL, and any statistical software you've used. Discuss specific projects where you utilized these tools to uncover insights or drive business decisions.

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How do you approach developing growth strategies based on data analysis?

Discuss your methodical approach to data, including how you gather insights, analyze market trends, and prioritizing high-potential opportunities based on data. Provide an example if possible.

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What methods do you use for time-series analysis in your work?

Outline your proficiency with time-series analysis techniques and provide examples of how you have applied these methods to forecast trends and make actionable business recommendations in past roles.

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How do you handle collaboration with internal business partners?

Explain your communication and collaboration strategies when working with cross-functional teams. Highlight your ability to align analytics with business priorities and share insights that drive decision-making.

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Can you provide an example of a successful strategy you implemented through data analysis?

Share a specific example that details the challenge, your analysis, the strategy you implemented, and the impact it had on the business. Highlight metrics or key performance indicators to showcase results.

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What experience do you have with programming languages like Python or R in analytics?

Discuss your programming experience, emphasizing projects where you used Python or R for data analysis, model creation, or automation of processes, and explain the outcomes of your efforts.

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What is your experience with predictive modeling techniques?

Identify the predictive modeling techniques you are familiar with, describe how you have utilized them in your analytics work, and discuss any successful projects where they influenced business strategies.

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How do you ensure data integrity during analysis?

Explain your process for checking data quality and accuracy, including the tools you use and the steps you take to clean data before performing analysis to ensure sound conclusions.

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How do you handle tight deadlines for data analysis projects?

Share your time management strategies and how you prioritize tasks when faced with tight deadlines while ensuring thorough analysis and collaboration with stakeholders.

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What do you consider the most significant trends affecting the analytics field today?

Discuss your insights into current industry trends, such as the rise of AI and machine learning in analytics, and how you envision these trends impacting roles like that of a Senior Manager, Data Analytics at American Express.

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American Express is a multinational financial services corporation and global leader in providing personal, small business, and corporate credit cards.

2285 jobs
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BADGES
Badge Family FriendlyBadge Office VibesBadge Work&Life BalanceBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Mental Health Resources
Life insurance
Disability Insurance
Child Care stipend
Employee Resource Groups
Learning & Development
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 3, 2025

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