2

Remote Data Analyst Fintech 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 ...

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 ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Build test automation from the ground up for a high-impact fintech platform * Work on genuinely ... Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data ...

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Be Seen First

You can work remote from home and would be expected to come on-site at office per the schedule ... The EHR Analyst evaluates system performance, implements enhancements, manages data reporting, and ...

... analyzing data; strong attention to detail; and the ability to exercise sound judgement ... Experience in B2B2C fintech or bank partnership structures * Familiarity with compliance ...

next page

Showing results 1-20

Remote Data Analyst Fintech information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do remote data analyst fintech jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data analyst fintech 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 does a remote data analyst in fintech do?

A Remote Data Analyst in Fintech is responsible for collecting, processing, and analyzing financial data to help companies make informed business decisions. They work with large datasets, identify trends, and generate actionable insights to improve financial products or services. This role often requires proficiency in data analysis tools, strong statistical skills, and an understanding of financial markets or payment systems. As the position is remote, communication and collaboration are typically conducted online using digital tools.

How does a remote data analyst in fintech typically collaborate with cross-functional teams?

As a Remote Data Analyst in fintech, you will regularly collaborate with product managers, engineers, and business analysts through virtual meetings and digital project management tools. Clear communication is essential, as you'll often translate complex data findings into actionable insights for non-technical stakeholders. Collaboration usually involves participating in sprint meetings, sharing dashboards, and providing real-time data support to optimize product features or enhance risk assessment processes. Building strong remote working relationships is key to ensuring alignment and timely delivery of analytics solutions.

What are the key skills and qualifications needed to thrive as a remote data analyst in fintech?

To thrive as a Remote Data Analyst in Fintech, you need strong analytical abilities, proficiency in statistics, and a background in finance, typically supported by a relevant degree. Expertise in technical tools such as SQL, Python, data visualization platforms (e.g., Tableau), and experience with financial modeling or risk analysis systems are often required. Strong problem-solving skills, attention to detail, and effective remote communication make candidates stand out in this role. These skills are crucial for delivering accurate data-driven insights that support financial decision-making and regulatory compliance in a fast-evolving industry.

What is the difference between Remote Data Analyst Fintech vs Remote Data Analyst Banking?

AspectRemote Data Analyst FintechRemote Data Analyst Banking
CredentialsBachelor's in Data Science, Finance, or related fields; certifications like CFA or Microsoft Data certificationsBachelor's in Finance, Economics, or Data Science; similar certifications often preferred
Work EnvironmentStartups, tech companies, online platforms in financial technologyTraditional banks, financial institutions, online banking services
Industry UsageUsed in innovative financial apps, digital payment platforms, and online lendingApplied in retail banking, investment banking, and financial services

The main difference between a Remote Data Analyst Fintech and a Remote Data Analyst Banking lies in their industry focus. Fintech analysts work primarily with innovative financial technology companies, while banking analysts are employed within traditional banking institutions. Both roles require similar skills and certifications but differ in work environment and industry applications.

What job categories do people searching Remote Data Analyst Fintech jobs in Riverside, CA look for?

The top searched job categories for Remote Data Analyst Fintech jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Data Analyst Fintech jobs?

Cities near Riverside, CA with the most Remote Data Analyst Fintech job openings:

Infographic showing various Remote Data Analyst Fintech job openings in Riverside, CA as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Full-time

Re-posted 21 days ago


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.