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Remote Data Analyst Fintech Jobs in Frederick, MD

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL databases. The ideal candidate will be responsible for designing data models, ensuring data ...

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

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, trends, metrics, and business performance indicators to support recommendations ... Remote work : Work in a way that allows you to work from home and have time onsite when needed to ...

SQL Analyst

Dulles, VA ยท Remote

Remote We are seeking experienced SQL engineer with strong PBM (Pharmacy Benefit Management ... The role requires hands-on expertise in SQL query development, data validation, and issue analysis.

Senior Analyst, Sales Operations

Leesburg, VA ยท On-site +1

$70K - $85K/yr

Location: Leesburg, VA (Remote) Company: VB Spine Looking for a career where your work truly ... Analyze sales data to identify trends, evaluate performance, and support business decisions.

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Showing results 1-20

Remote Data Analyst Fintech information

See Frederick, MD salary details

$33.8K

$82.2K

$135.2K

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 Frederick, MD is $82,167.00, 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 Frederick, MD?

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

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

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

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

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

Infographic showing various Remote Data Analyst Fintech job openings in Frederick, MD as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,167 per year, or $39.5 per hour.

Data Migration Analyst

Masai Technologies Corporation

Frederick, MD โ€ข Remote

$95K - $120K/yr

Full-time

Re-posted 19 days ago


Job description

MTC is based in Frederick, Maryland and provides systems integration services to the U.S. Federal Government by implementing both Cloud based ServiceNow platform as a service (PaaS) software and application plugin software, Nuvolo, for Integrated Workplace Management System (IWMS) functionality. The IWMS solution will meet the current and future needs of the Public Sector/federal agencies by providing critical administrative digitized workflow activities for Facilities Asset Management, Space Management, Capital Project Management, and other related workplace management business processes.  The Legacy Data Migration Analyst position detail is below. 
 
If You are interested and You qualify, please reply with all:   
1) updated Resume   2) W2 Salary Range  3) Availability day/times to interview  4) Best Contact phone#
 
Position: Data Migration Analyst Duties:
 
Duration:  2 – 7 years based upon renewal
 
Location:           Primarily a remote position with periodic quarterly onsite meetings in Frederick, MD and Bethesda, MD
 
Start:                    Immediate
 
 
Job Description: 
Perform Data analysis, data validation, and data migration and data integration analysis efforts with a focus on analyzing, verifying, and validating the requirements for moving data received from current Legacy NIH Systems data owner and performing Data Validation before data is loaded to the Service Now-Nuvolo application instance. Also, supporting the data analysis of data interface requirements for ongoing integration. 
 
Data will be provided by legacy system data owners and Data Analyst will support requirements elicitation, data mapping workshops, Agile Development Increments/Sprints and Demos, User Acceptance Testing, Training, and Production Deployments. Create / Update Data models and datasets based upon the ServiceNow-Nuvolo application design requirements.
 
Perform data management using manual and automated methods using Microsoft Excel for pre-import data tasks (data migrations, minor cleansing, and transformation) prior to loading into target ServiceNow-Nuvolo system. The Legacy System Data Owner is responsible for data cleaning including data formatting, normalization, duplicate removal, etc. 
 
Data Analyst provides data validation and minor corrections, and generates queries, reports, risk analysis, and other random tasks to support the project team. Must create Agile user stories describing requirements for data migration from legacy system