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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.)
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$126360K
$135000K

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

Join American Express Travel Related Services Company, Inc. as a Sr. Analyst in Data Analytics, where you'll play a pivotal role in shaping our data landscape! In this dynamic position based in New York, New York, you'll be responsible for designing, building, and maintaining robust data pipelines that enable efficient and scalable analytics, reporting, and modeling. Your expertise in data governance is crucial, as you'll build and maintain data dictionaries and implement data quality measures, ensuring our data is accurate, accessible, and complies with regulatory standards. You'll work closely with stakeholders to analyze new data sources and seamlessly integrate them into existing models, enhancing our analytical capabilities. To thrive in this role, you'll need a Master’s degree in Statistics, Mathematics, Data Analytics, or a related field, along with two years of hands-on data engineering experience. Proficiency in data quality checks, ETL process optimization, and statistical modeling is essential. Familiarity with tools such as Databricks, Tableau, Google Cloud, and various programming languages will help you excel in creating insightful dashboards and leveraging machine learning projects. With telecommuting options available, you can enjoy the flexibility of working remotely while still being part of a collaborative team committed to your professional growth and well-being. Don't miss this opportunity to join a company that prioritizes holistic health and offers competitive salaries, comprehensive benefits, and a culture of support and development. Engage in your career with us at American Express!

Frequently Asked Questions (FAQs) for Sr. Analysts, Data Analytics Role at American Express
What are the responsibilities of a Sr. Analyst in Data Analytics at American Express?

As a Sr. Analyst in Data Analytics at American Express, your responsibilities will include designing and maintaining data pipelines, enabling scalable analytics and reporting, and supporting data governance processes through quality control measures. You'll also integrate new data sources and collaborate with stakeholders to enhance data accessibility and quality governance.

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What qualifications are needed for the Sr. Analyst, Data Analytics role at American Express?

To qualify for the Sr. Analyst, Data Analytics position at American Express, you need a Master’s degree in Statistics, Mathematics, Data Analytics, or a related field, along with at least two years of relevant experience in data engineering. Familiarity with data quality assurance practices, ETL processes, and various analytics tools is essential.

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What tools and technologies should a Sr. Analyst in Data Analytics at American Express be familiar with?

A successful Sr. Analyst in Data Analytics at American Express should have experience with tools such as Databricks, Tableau, BigQuery, and programming languages like Python, R, and SQL. Knowledge of performing data quality checks, Agile development, and machine learning projects will also be beneficial.

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Is telecommuting available for the Sr. Analyst, Data Analytics position at American Express?

Yes, American Express offers telecommuting options for the Sr. Analyst, Data Analytics role, allowing you to work from anywhere in the U.S. This flexibility can help you balance your personal and professional life effectively while contributing to the team's success.

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What benefits does American Express offer to its Sr. Analysts in Data Analytics?

American Express provides a comprehensive benefits package for Sr. Analysts in Data Analytics, including competitive salaries, bonus incentives, a 6% company match on retirement savings, health insurance, paid parental leave, and access to wellness programs. These benefits support the overall well-being of employees and their families.

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Common Interview Questions for Sr. Analysts, Data Analytics
Can you explain your experience with data quality checks in previous projects?

In answering this question, highlight specific instances where you performed data quality checks. Discuss the methodologies used, tools implemented for data validation, and the impact on project outcomes to showcase your practical expertise.

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Describe your approach to designing ETL pipelines.

When addressing this question, detail your step-by-step approach to designing ETL pipelines, including how you ensure data integrity, handle errors, and optimize workflow efficiency. Use examples from your experience to illustrate your process.

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What statistical models have you used for valuation and prediction?

In response, discuss particular statistical models you've applied, such as regression analysis or time series forecasting. Highlight how you chose these models based on project needs and the results they produced.

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How do you stay updated on the latest data analytics trends and technologies?

Mention platforms you follow, courses you've taken, or any professional communities you engage with. Share how staying updated has influenced your work and improved the projects you've managed.

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Explain a challenging data integration project you've worked on.

Detail a specific project where you faced significant challenges in data integration. Focus on the problems identified, the solutions you implemented, and the ultimate project success to demonstrate your problem-solving abilities.

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What role does teamwork play in your data analytics projects?

Discuss your collaborative experience in data analytics. Emphasize your communication skills and how you've worked effectively with stakeholders, data engineers, or business leaders to achieve common goals.

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Can you share an experience where you automated a process in data analytics?

Provide a detailed explanation of a specific automation project, including the processes involved, the tools used, and the impact of automation on efficiency and accuracy in your analytics workflows.

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What have you learned from your machine learning projects?

Share insights from your machine learning experiences, including the practical challenges you faced, key takeaways, and how these experiences shaped your approach to data analytics and modeling.

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How do you approach dashboard creation for reporting?

Discuss your methodology for creating dashboards, including your process for identifying key metrics, tools you prefer like Tableau or Databricks, and how you ensure that the visualizations are user-friendly and actionable.

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Describe your understanding of Agile development processes.

Explain your familiarity with Agile methodologies, including your experience with sprints, stand-ups, and how Agile has improved project management in your past roles. Illustrate with specific examples of Agile principles in your work.

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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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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
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 3, 2025

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