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Remote Data Analyst Fintech Jobs in Baltimore, MD

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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 ...

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 ...

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 ...

Showing results 21-40

Remote Data Analyst Fintech information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

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

As of Sep 4, 2026, the average yearly pay for remote data analyst fintech in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 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 are popular job titles related to Remote Data Analyst Fintech jobs in Baltimore, MD?

For Remote Data Analyst Fintech jobs in Baltimore, MD, the most frequently searched job titles are:

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

The top searched job categories for Remote Data Analyst Fintech jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Data Analyst Fintech jobs?

Cities near Baltimore, MD with the most Remote Data Analyst Fintech job openings:

Data Analytics Manager (GYN/OB)

Johns Hopkins University

Baltimore, MD • Remote

Full-time

Posted 14 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 629 rated colleges and universities


Job description

We are seeking a Data Analytics Manager who will create and execute approaches for using quantitative data and methods to understand and review complex issues and business needs of the assigned area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative aspects of the innovation process. Specific Duties & Responsibilities Lead the development and implementation of strategies for using quantitative data and methods to understand complex business issues.

Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data. Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc

Invent and quickly iterate novel solutions to challenging data-related problems. Create and manage project plans for the quantitative data components of all teamwork. Develop and manage partnerships and collaborations with data providers and stakeholders.

Champion the use of quantitative data to drive decisions. Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders. Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.

Develop metrics and measurement systems to measure the impact of the team's projects and initiatives. Connect data insights to research and collaborate with team members to conduct research sessions including focus groups, interviews, and user testing. Support analogous research and literature reviews.

Serve as a key participant in each step of the area's data methodology, providing a quantitative perspective to all projects. Serve as a lead for the data analytics team. Perform other related duties as requested.

This position is to support research on reproductive health, maternal and infant outcomes, and health policy. This position is ideal for candidates with strong quantitative and epidemiologic skills who are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical analyses, drafting manuscripts for publication, and providing broader research support as needed.

The Data Analytics Manager will need to, clean, manage, and analyze large, complex datasets using statistical software (e.g., Stata, R). Contribute to study design, data interpretation, and statistical modeling. Draft and edit manuscripts for submission to peer-reviewed journals

Collaborate with research teams across institutions and disciplines. Provide mentorship to graduate students and research assistants, as needed. Minimal travel may be expected for conferences or collaborative meetings.

Minimum Qualifications Bachelor's Degree. Seven years of related experience. Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent permitted by the JHU equivalency formula.

PhD in epidemiology, demography, or related field. Five or more year's experience supporting or leading research on related topics. Content area expertise in reproductive and perinatal epidemiology.

Extensive experience working with claims data and vital statistics data. Strong publication record. Technical Skills and Expected Level of Proficiency Data Architecture -Advanced Database Querying - Advanced Data Strategy and Innovation - Advanced Data Visualization - Advanced Project Management - Advanced Program Evaluation - Advanced Stakeholder Engagement - Advanced Statistics - Advanced The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Data Analytics Manager Role/Level/Range: ATP/04/PE Starting Salary Range: $41.28 - $72.25 HRLY ($30,544.80 targeted; Commensurate w/exp.) Employee group: Casual / On Call Schedule: Monday - Friday 8am - 5pm FLSA Status: Exempt Location: Remote Department name: SOM OB GYN Bay Gynecology Obstetrics Bay Personnel area: School of Medicine


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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876