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American Express Data Analyst Jobs (NOW HIRING)

Industry and government leaders including American Express, Comcast, McKesson, the US Army, and the ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

Industry and government leaders including American Express, Comcast, McKesson, the US Army, and the ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

About the Internal Audit Group at American Express: Our Internal Audit Group is a worldwide ... data analytics, and banking operations. Our audit teams align to key risk areas and business units ...

Manager - Audit

New York, NY · On-site

$110K - $146K/yr

About the Internal Audit Group at American Express Our Internal Audit Group is a worldwide function ... Experience with data analytic tools, data visualization, key risk indicators (KRIs), key ...

Sr Analyst-Marketing

New York, NY · On-site

$112K - $138K/yr

Here, creativity and inspired storytelling combine with powerful data-based marketing and hyper ... At American Express, our culture is built on a 175-year history of innovation, shared values and ...

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American Express Data Analyst information

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$34K

$82.6K

$136K

How much do american express data analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for american express data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What types of projects do American Express Data Analysts typically work on, and how do they impact the business?

American Express Data Analysts often work on projects involving customer behavior analysis, risk modeling, portfolio management, and optimization of marketing strategies. They collaborate with business leaders, engineering, and product teams to interpret large datasets and create data-driven recommendations that drive business growth and operational efficiency. A typical day may include gathering requirements, conducting exploratory data analysis, presenting findings, and building reports or dashboards for stakeholders. This role is critical in shaping business decisions, improving customer experiences, and identifying new growth opportunities within the company.

What is an American Express Data Analyst job?

An American Express Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. They work with various teams to identify trends, optimize processes, and improve customer experiences. Responsibilities typically include data visualization, reporting, and utilizing statistical models to support strategic initiatives. Strong analytical skills, proficiency in SQL, Python, or other data tools, and an understanding of financial services are essential for this role.

What are the key skills and qualifications needed to thrive in the American Express Data Analyst position, and why are they important?

To thrive as an American Express Data Analyst, you need strong analytical skills, a degree in a quantitative field, and experience in data modeling and statistical analysis. Proficiency with data tools such as SQL, Python or R, data visualization platforms like Tableau, and familiarity with cloud-based data systems is highly valued. Excellent communication, attention to detail, and the ability to work collaboratively with cross-functional teams are important soft skills. These abilities ensure analysts can translate complex data into actionable insights that support strategic decision-making within the company.

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What cities are hiring for American Express Data Analyst jobs? Cities with the most American Express Data Analyst job openings:
What are the most commonly searched types of American Express Data Analyst jobs? The most popular types of American Express Data Analyst jobs are:
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Infographic showing various American Express Data Analyst job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Medical, Retirement

Posted 19 days ago


Job description

Company Description

Acumen Solutions is the trusted leader in Enterprise Cloud Transformation, helping organizations realize dramatic improvements in productivity and profitability through innovations in business and technology. Industry and government leaders including American Express, Comcast, McKesson, the US Army, and the US Securities and Exchange Commission rely on our global consultants to deliver cloud solutions that yield exceptional results. We apply this same focus on results to our unparalleled social responsibility program, generating sustainable impact across our local communities.


As a leading management and technology consulting firm, Acumen Solutions offers a range of challenging and rewarding opportunities whether you're just starting out in your career, looking to advance your career, or seeking a senior leadership position. Acumen Solutions employees are ambitious, committed, passionate problem solvers.

Job Description

We are looking to grow our team and currently have entry to manager level opportunities for Data Analysts in our McLean, VA location. The Data Analyst specializes in collecting, organizing, and analyzing data from various systems. 


Specific Duties

  • Develop an in-depth understanding of the interrelationships of data and multiple data domains
  • Create thorough documentation artifacts and maintain same for duration of project
  • Identify and document data migration paths and processes
  • Maintain industry/technical knowledge base and facilitate/maintain industry relationships
  • Demonstrate commitment to providing customer-focused quality service
  • Support assigned systems through transition period
  • Perform other duties as deemed relevant based upon experience to fulfill customer needs
  • Develop and perform standard queries to ensure data quality, identify data inconsistencies, missing data and resolve as needed
  • Standardize data naming, data definitions and modeling
  • Perform data extraction, storage, manipulation, processing, and analysis
  • Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities
  • Interpret Customers functional and information needs and turn them into functional or data requirements, process models, etc.
Qualifications
  • Must be willing to travel (35-50%)
  • Must be authorized to work for any U.S. employer
  • 1-5 years of demonstrated experience in data analysis, data manipulation, and decision support
  • Knowledge and application of relational database concepts
  • Experience or exposure to Extract/Transform/Load (ETL) and/or Business Intelligence
  • Strong SQL skills
  • Skilled at completing technical design via iterative mockups
  • High proficiency in MS Office Suite (esp. Word and Excel)
  • Openness to learning new skills and software as necessary
  • Demonstrated ability to manage simultaneous work flows while maintaining quality output and meeting deadlines
  • Demonstrated ability to learn new and exciting technologies with little assistance
  • Experience with ETL tools and procedures (any tool)
  • Prior experience working in the Cloud
  • Strong verbal and written communication skills with demonstrated ability to communicate at different levels of the organization
  • Ability to perform ad-hoc analysis and maintain clear and comprehensive documentation of decision-making, data preparation, and processes
  • High aptitude in analytical and logical thinking
  • Demonstrated experience with data models and data mapping
  • Experience with Unified Modeling Language (UML), including Entity-Relationship Diagrams (ERD), Sequence Diagrams, and Data Flow Diagrams (DFD)
  • Understanding of XML, SQL, Data Modeling Language (DML), and Data Definition Language (DDL)
  • Strong communication skills, both written and spoken
  • Demonstrated ability to produce highly detailed, comprehensive documentation artifacts
  • Client-focused attitude
  • High-level knowledge of enterprise IT organizational, business, and technical environments
  • Ability to analyze processes and recommend improvements as needed Education and Certification
  • Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business, Mathematics, or other related scientific or technical discipline with two (2) or more years of experience related to this position
  • Exposure to one or more of the following: Informatica, Pentaho, DataStage, Jitterbit, Mulesoft, etc.
  • Relevant IT certifications preferred     
Additional Information

Benefits

Acumen Solutions offers the opportunity for growth and advancement, as well as a competitive base salary, annual performance based incentives, medical benefits & 401k. 

EOE M/F/V/D

VEVRAA Federal Contractor