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American Express Travel Related Services Company, Inc. seeks Sr. Analysts, Data Analytics to design, build, and maintain data pipelines. Enable efficient and scalable analytics, reporting, and modeling. Support data governance processes by building and maintaining data dictionaries, setting up data quality measures and increasing automation. Ensure data quality and governance, and catalog data for ease of access to data while maintaining strict quality controls to support company responsibilities as a regulated bank. Analyze new data sources and work with stakeholders to integrate the data into existing data pipelines and models.

Position requires a Master’s degree in Statistics, Mathematics, Data Analytics, Operations Research, or a related field, and 2 years of experience with data engineering. Experience must include 2 years of experience with each of the following: performing data quality checks to ensure accuracy and completeness; batching and streaming data pipelines; developing and optimizing ETL pipelines; using statistical modeling for valuation and prediction; performing root cause analysis; developing dashboards using Databricks and Tableau; machine learning projects; Agile development process; and BigQuery, Confluence, Docker, Databricks workflow orchestration, Git, Google Cloud platform, Jira, Hive, Kubernetes, Linux, MongoDB, PHP, PySpark, Python, R, Spark, and SQL. Telecommuting is available from anywhere in the U.S.

Job Location: New York, NY   

Salary Range: $126,360.00 - $135,000.00 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.

 #LI-DNI

 

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Average salary estimate

$130680 / YEARLY (est.)
min
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$126360K
$135000K

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What You Should Know About Sr. Analysts, Data Analytics, American Express

At American Express Travel Related Services Company, Inc., we are on the lookout for a talented Sr. Analyst in Data Analytics to join our energetic team in New York, New York. In this role, you will have the opportunity to design, build, and maintain robust data pipelines that empower scalable analytics, reporting, and modeling throughout the organization. Your expertise will be crucial in supporting data governance processes and ensuring data quality, as you’ll be responsible for constructing and maintaining detailed data dictionaries and implementing data quality measures to enhance our operations. As a Sr. Analyst, you will also play a key role in analyzing new data sources and collaborating with stakeholders to seamlessly integrate them into our existing frameworks. A Master’s degree in Statistics, Mathematics, Data Analytics, or a related field, along with 2 years of relevant experience, sets the stage for an exciting journey with us. You will apply your skills in developing and optimizing ETL pipelines, utilizing statistical modeling, and overseeing machine learning projects. Don’t worry if you’re remote; we support telecommuting so you can work from anywhere in the U.S. Join us at American Express where your contributions will not only influence our organization but also provide immense value to the customers we serve.

Frequently Asked Questions (FAQs) for Sr. Analysts, Data Analytics Role at American Express
What responsibilities do Sr. Analysts in Data Analytics at American Express have?

As a Sr. Analyst in Data Analytics at American Express, you will be primarily responsible for designing, building, and maintaining data pipelines while ensuring the accuracy and integrity of our data. You will also implement data governance processes including developing data dictionaries and quality measures, as well as integrating and analyzing new data sources.

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What qualifications are needed for a Sr. Analyst in Data Analytics at American Express?

To be considered for the Sr. Analyst position in Data Analytics at American Express, candidates must hold a Master’s degree in Statistics, Mathematics, Data Analytics, Operations Research, or a related field, along with at least 2 years of experience in data engineering and proficiency in a range of technical skills including Python, SQL, and big data technologies.

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What tools and technologies will a Sr. Analyst in Data Analytics use at American Express?

A Sr. Analyst in Data Analytics at American Express will work with a variety of tools and technologies including Databricks, Tableau, Google Cloud Platform, BigQuery, and programming languages such as Python and R. Familiarity with Docker, Git, and machine learning concepts is also beneficial for efficiency in this role.

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What is the salary range for a Sr. Analyst in Data Analytics at American Express?

The salary range for a Sr. Analyst in Data Analytics at American Express is between $126,360.00 and $135,000.00 annually. Compensation will ultimately depend on several factors including experience, location, and skill set.

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Does American Express offer telecommuting options for Sr. Analysts in Data Analytics?

Yes, American Express supports telecommuting for the Sr. Analyst in Data Analytics role, allowing candidates to work from anywhere in the U.S. This flexibility is designed to enhance work-life balance for our team members.

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Common Interview Questions for Sr. Analysts, Data Analytics
Can you explain your experience with developing ETL pipelines?

When answering this question, describe a specific project where you developed ETL pipelines, focusing on the technologies you used and any challenges you overcame. Highlight your understanding of data cleaning and transformation processes to illustrate your expertise.

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How do you ensure data quality in your analyses?

To address this question, you should explain your methodology for conducting data quality checks, such as validating data against established benchmarks, performing completeness checks, and regularly auditing data sources to identify inconsistencies and ensure reliability.

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What statistical modeling techniques have you utilized in previous roles?

Share specific examples of statistical modeling techniques you've applied, such as regression analysis or machine learning algorithms. Discuss how you selected the right model for the problem and the impact it had on decision-making within your team.

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Describe a time when you integrated new data into existing models.

When responding, recount a specific instance where you integrated new data sources into an existing analytics framework. Discuss your process, any collaboration with stakeholders, and the outcomes of that integration.

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How do you stay up-to-date with data analytics trends and technologies?

Explain your commitment to continuous learning, such as attending workshops, participating in online courses, and following industry-leading publications. Mention specific resources you use to enhance your knowledge about data analytics tools and trends.

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Can you give an example of how you've used machine learning in a project?

Provide a specific project example that showcases your machine learning skills, detailing the problem you aimed to solve, the algorithms you chose, and the measurable impact your model had on business outcomes.

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How would you approach a data quality issue you discovered?

Detail your systematic approach to addressing data quality issues, including initial assessment, root cause analysis, and implementation of corrective measures while also communicating findings and solutions to relevant stakeholders.

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What experience do you have with data visualization tools?

Discuss your experience with data visualization tools like Tableau or Databricks, mentioning specific dashboards you've created, the insights gained from them, and how they influenced executive decisions or team strategies.

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Explain your understanding of the Agile development process.

Articulate your understanding of Agile principles, focusing on how you have applied Agile methodologies in your work, such as collaboration, iterative development, and adaptability to change, and provide examples of how this benefited your projects.

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How do you handle tight deadlines and high-pressure situations?

Share strategies you use to manage time effectively, prioritize tasks, and maintain focus when under pressure. Providing an example from a past experience can reinforce your ability to thrive in demanding environments.

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

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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
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SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 4, 2025

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