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Sr. Analysts, Data Analytics - job 2 of 4

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

Are you ready to take the next step in your career as a Sr. Analyst in Data Analytics at American Express Travel Related Services Company, Inc.? This is your chance to shine! In this pivotal role, you'll be responsible for designing, building, and maintaining robust data pipelines that ensure efficient and scalable analytics, reporting, and modeling. Your expertise will be key in supporting data governance processes, where you'll create and maintain essential data dictionaries and implement quality measures, all while enhancing automation. As part of a team that prioritizes data quality and governance, you will catalog data for easier access while adhering to the stringent quality controls required in the banking sector. Your analytical skills will come into play when exploring new data sources and collaborating with stakeholders to seamlessly integrate them into existing data frameworks. To thrive in this role, you should have a Master’s degree in Statistics, Mathematics, Data Analytics, Operations Research, or a related field, along with at least 2 years of data engineering experience. Familiarity with tools such as Databricks, Tableau, Google Cloud platform, and programming languages like Python and R will set you up for success. With competitive pay and a robust benefits package, including comprehensive health plans and generous parental leave, you’ll find more than just a job here; you’ll find a place that supports your well-being and growth. Join us in New York, or enjoy the flexibility of telecommuting from anywhere in the U.S. Make a difference with American Express!

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

As a Sr. Analyst in Data Analytics at American Express, you will design, build, and maintain data pipelines that enable scalable analytics and reporting. You'll be involved in data governance tasks, including maintaining data dictionaries and implementing quality measures to increase automation, ensuring high data quality and governance throughout the organization.

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What qualifications are required for the Sr. Analyst position at American Express?

To apply for the Sr. Analyst in Data Analytics position at American Express, candidates need a Master’s degree in Statistics, Mathematics, Data Analytics, Operations Research, or a related field, along with a minimum of 2 years of experience in data engineering roles. Proficiency in tools like Databricks, Tableau, and languages like SQL, Python, R, and others is also crucial for this role.

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What tools and technologies will I use as a Sr. Analyst at American Express?

In your role as a Sr. Analyst in Data Analytics at American Express, you’ll work with a variety of tools and technologies including Databricks, Tableau for dashboard development, and utilize platforms like Google Cloud, BigQuery, and Docker. Familiarity with programming languages such as Python, R, and SQL is essential for executing your daily responsibilities.

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Is telecommuting an option for the Sr. Analyst role at American Express?

Yes! The Sr. Analyst in Data Analytics position at American Express offers the flexibility of telecommuting from anywhere in the U.S. This option allows you to maintain a work-life balance while contributing to critical data initiatives for the company.

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What are the benefits associated with the Sr. Analyst role at American Express?

American Express offers a comprehensive benefits package for the Sr. Analyst in Data Analytics role, including competitive salaries, bonuses, extensive health insurance, retirement savings plans with a company match, and generous parental leave policies, alongside career development opportunities to support your professional growth.

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Common Interview Questions for Sr. Analysts, Data Analytics
Can you describe your experience with data quality checks as a Sr. Analyst?

In your response, you should highlight specific scenarios where you performed data quality checks, explaining the methodologies you used to ensure accuracy and completeness. Discuss any tools you employed, such as SQL for data validation, and the impact your quality checks had on the overall project outcomes.

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What is your approach to developing and optimizing ETL pipelines?

Discuss your methodology for designing ETL pipelines, focusing on your techniques for optimization. Provide examples of how you have improved data extraction, transformation, and loading processes, including any tools like Apache Spark or Databricks, to enhance performance and efficiency in your past projects.

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How do you handle integrating new data sources into existing models?

When responding to this question, describe your process for analyzing new data sources and the steps you take for integration. Highlight any collaboration with stakeholders, outlining how you ensure compatibility and maintain data integrity throughout the integration process.

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What machine learning projects have you worked on?

Share details of specific machine learning projects you've been involved in, detailing the objectives, techniques used, and results achieved. Discuss any programming languages or frameworks utilized, such as Python or R, and explain the impact these projects had on your organization.

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Can you explain your experience with data visualization tools?

Provide examples of dashboards and visualizations you have created using tools like Tableau and Databricks. Discuss how you tailor these visualizations to meet stakeholder needs, emphasizing the importance of clarity and insight in data representation.

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How do you ensure compliance with data governance standards?

In answering this question, focus on your familiarity with data governance processes and any frameworks you've adhered to. Elaborate on your role in maintaining data dictionaries, implementing data quality measures, and educating team members about compliance requirements.

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What experience do you have with Agile development practices?

Detail your previous roles in Agile teams, explaining how you collaborated with cross-functional members and adapted to the Agile framework. Mention tools like Jira that you've used for tracking progress and how you've contributed to sprints and retrospectives.

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Describe your experience with cloud platforms like Google Cloud.

Share your familiarity with Google Cloud, detailing the services you have utilized, such as BigQuery for data warehousing and analytics. Explain how you leveraged cloud capabilities to enhance performance and scalability in your data projects.

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How do you approach root cause analysis for data issues?

When discussing root cause analysis, offer a structured approach you take to identify and resolve data discrepancies. Describe any methodologies or tools you've used, illustrating your problem-solving skills and the outcomes of your analyses.

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What step would you take to troubleshoot a failed data pipeline?

In your response, outline the systematic approach you would use for troubleshooting a failed data pipeline. Include steps such as checking logs, verifying data integrity, and collaborating with IT support, demonstrating your analytical rigor and ability to resolve issues promptly.

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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
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Full-time, remote
DATE POSTED
April 3, 2025

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