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Remote Data Analyst Jobs in Mount Airy, MD (NOW HIRING)

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... This position is remote within the United States. Please note that ICF monitors employee work ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

ManTech

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 ...

Econometrica

Data Scientist

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Econometrica specializes in research, econometric, analytical, and technical support for our ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

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Showing results 21-40

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Mount Airy, MD

Remote Data Analyst information

See Mount Airy, MD salary details

$32.7K

$79.4K

$130.6K

How much do remote data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data analyst in Mount Airy, MD is $79,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,200.00 per year, depending on experience, location, and employer.

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 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.

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

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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Mount Airy, MD?

The most popular types of Data Analyst jobs in Mount Airy, MD are:

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

The top searched job categories for Remote Data Analyst jobs in Mount Airy, MD are:

What cities near Mount Airy, MD are hiring for Remote Data Analyst jobs?

Cities near Mount Airy, MD with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Mount Airy, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,364 per year, or $38.2 per hour.

Data Quality Analyst (Translational Research)

Digital Infuzion

Rockville, MD • On-site, Remote

$65K - $80K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Review scientific data submissions for completeness, accuracy, and adherence to defined standards.

  • Evaluate the consistency and scientific relevance of data and flag potential issues for review.

  • Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review.

Job description

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care.
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
  • Outcomes First: Focusing on what matters most and making timely, informed decisions.
  • Innovative: Embracing creativity and continuous improvement to drive novel solutions.
  • Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care.
  • Never Satisfied: Pursuing excellence and continuous growth beyond the status quo.
  • Resilient: Adapting and persevering through challenges, turning obstacles into opportunities.

If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.
Position Summary
The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standards. This role requires attention to detail, familiarity with pre-clinical research concepts, and an interest in applying best practices to evolving areas of biomedical research, including influenza and infectious disease.
Working under the guidance of the Data Quality Manager and Scientific Program Manager, the Data Quality Analyst will review submissions for scientific and methodological soundness, support the development of efficient data workflows, and contribute to continuous improvements in data quality processes and models. This position provides an excellent opportunity to build expertise at the intersection of data quality, scientific research, and informatics.
Key Responsibilities
  • Review scientific data submissions for completeness, accuracy, and adherence to defined standards.
  • Evaluate the consistency and scientific relevance of data and flag potential issues for review.
  • Assess methodological details of pre-clinical and translational research submissions under the guidance of senior staff.
  • Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review.
  • Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality.
  • Assist in monitoring data quality metrics and document trends or recurring issues.
  • Maintain up-to-date knowledge of emerging research methods, data standards, and automation tools to support improvements in data quality practices.
  • Contribute to team documentation and process refinement efforts as part of continuous improvement initiatives.

Required Qualifications
  • Bachelor's degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field).
  • Familiarity with pre-clinical research methods and experimental design.
  • Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data.
  • Ability to follow established data quality workflows and contribute to process documentation.
  • Strong written and verbal communication skills, with the ability to summarize findings clearly.
  • Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team.

Preferred Qualifications
  • Master's degree in a relevant scientific or data-related field.
  • Understanding of controlled vocabularies, ontologies, and biomedical data standards.
  • Familiarity with database systems, structured data models, or data submission pipelines.
  • Exposure to human-in-the-loop AI processes and automation in data review workflows.
  • Experience with quality control, process improvement, or research data management.

*This is a remote-eligible position
Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.
We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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