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Remote Data Analyst Jobs in Frederick, MD (NOW HIRING)

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

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 ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

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 ...

VIS IT Solutions Inc

SQL Analyst

Dulles, VA · 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.

VB Spine

Senior Analyst, Sales Operations

Leesburg, VA · 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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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Frederick, MD

Remote Data Analyst information

See Frederick, MD salary details

$33.8K

$82.2K

$135.2K

How much do remote data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data analyst 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Frederick, MD? The most popular types of Data Analyst jobs in Frederick, MD are:
What are popular job titles related to Remote Data Analyst jobs in Frederick, MD? For Remote Data Analyst jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Frederick, MD look for? The top searched job categories for Remote Data Analyst jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Remote Data Analyst jobs? Cities near Frederick, MD with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Frederick, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $82,167 per year, or $39.5 per hour.
Data Migration Analyst

Data Migration Analyst

Masai Technologies Corporation

Frederick, MD • Remote

$95K - $120K/yr

Full-time

Posted 13 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