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Remote American Express Data Analyst Jobs in Riverside, CA

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

New

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Trainer (Remote)

Santa Ana, CA · Remote

$64K - $85K/yr

First American's Agency Division is dedicated to providing our policy-issuing agents with resources ... Data gathering and analysis * Facilitation skills * Critical thinking to develop or asses training ...

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Remote American Express Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

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

As of Jul 13, 2026, the average yearly pay for remote american express data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What are Remote American Express Data Analysts?

Remote American Express Data Analysts are professionals who work from locations outside of a traditional office, analyzing data to support business decisions for American Express. Their responsibilities typically include collecting, processing, and interpreting large datasets to identify trends, solve problems, and provide actionable insights. These analysts collaborate with different teams, create reports, and help optimize company strategies. Working remotely allows them flexibility while still delivering critical data-driven recommendations to support the company's goals.

How does a Remote American Express Data Analyst typically collaborate with cross-functional teams while working off-site?

As a Remote American Express Data Analyst, you'll frequently collaborate with marketing, finance, and IT teams through virtual meetings, shared dashboards, and project management tools. Clear communication and proactive updates are essential, as you'll often be responsible for translating complex data insights into actionable recommendations for stakeholders who may not have a technical background. Despite being remote, you'll be expected to participate in regular team check-ins and cross-departmental projects to ensure alignment on company goals and data-driven strategies.

What are the key skills and qualifications needed to thrive as a Remote American Express Data Analyst, and why are they important?

To thrive as a Remote American Express Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in fields like statistics, mathematics, or computer science. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms is typically required, along with experience using Excel and possibly Python or R. Excellent communication, problem-solving, and self-motivation are standout soft skills, especially when collaborating with remote teams and stakeholders. These skills are crucial for generating actionable insights, ensuring data accuracy, and supporting strategic business decisions in a remote, data-driven environment.

What is the difference between Remote American Express Data Analyst vs Remote American Express Business Analyst?

AspectRemote American Express Data AnalystRemote American Express Business Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Finance, or related; strong analytical skills, familiarity with business processes
Work EnvironmentData-focused, technical environment with data teams and IT supportBusiness-oriented, cross-departmental collaboration with product and operations teams
Employer & Industry UsageCommonly employed in finance, banking, and credit card servicesUsed in strategic planning, operations, and product development within similar industries

The Remote American Express Data Analyst primarily focuses on analyzing data to inform decisions, requiring technical skills in data tools. In contrast, the Remote American Express Business Analyst concentrates on understanding business needs and processes, often acting as a bridge between technical teams and business units. Both roles are vital in the financial services industry but differ in their core responsibilities and skill sets.

What are the most commonly searched types of American Express Data Analyst jobs in Riverside, CA? The most popular types of American Express Data Analyst jobs in Riverside, CA are:
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What job categories do people searching Remote American Express Data Analyst jobs in Riverside, CA look for? The top searched job categories for Remote American Express Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote American Express Data Analyst jobs? Cities near Riverside, CA with the most Remote American Express Data Analyst job openings:
Data Analyst

Full-time

Posted 2 days ago

New


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.