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Remote Data Analyst Fintech Jobs (NOW HIRING)

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ... Experience in fintech, financial services, or payments. * Track record of leading cross-functional ...

Brex

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ... Experience in fintech, financial services, or payments. * Track record of leading cross-functional ...

NuView Analytics

Data Analyst

Denver, CO · Remote

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

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Remote Data Analyst Fintech information

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$34K

$82.6K

$136K

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

As of Jun 5, 2026, the average yearly pay for remote data analyst fintech 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 are the key skills and qualifications needed to thrive as a Remote Data Analyst in Fintech, and why are they important?

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.

How does a Remote Data Analyst in the fintech sector 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 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.

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.

More about Remote Data Analyst Fintech jobs
What cities are hiring for Remote Data Analyst Fintech jobs? Cities with the most Remote Data Analyst Fintech job openings:
What are the most commonly searched types of Data Analyst Fintech jobs? The most popular types of Data Analyst Fintech jobs are:
What states have the most Remote Data Analyst Fintech jobs? States with the most job openings for Remote Data Analyst Fintech jobs include:
What job categories do people searching Remote Data Analyst Fintech jobs look for? The top searched job categories for Remote Data Analyst Fintech jobs are:
Remote Data Analyst Fintech jobs near you
Infographic showing various Remote Data Analyst Fintech job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 4% Part Time, and 30% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Junior Data Entry Specialist - Remote

Only Data Entry

Florida, NY • Remote

$17.50 - $23.50/hr

Full-time

Posted 15 days ago

Job description

About the job Junior Data Entry Specialist - Remote

CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING

Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis

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