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Remote Data Analysis Jobs in Maryland (NOW HIRING)

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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0238506 Location: Edgewood,MD,US Share job via: Share Data Scientist ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Lead root-cause analysis and long-term fixes for complex data issues. Leadership & Collaboration ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Stryker

$83K - $122K/yr

Remote As a Pricing Analyst on Stryker's Customer Solutions team, you'll leverage data, analytics ... Experience using Microsoft Excel for data analysis, reporting, or business decision support.

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All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Maryland

Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in Maryland?

The most popular types of Data Analysis jobs in Maryland are:

What are popular job titles related to Remote Data Analysis jobs in Maryland?

For Remote Data Analysis jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis jobs in Maryland look for?

The top searched job categories for Remote Data Analysis jobs in Maryland are:

What cities in Maryland are hiring for Remote Data Analysis jobs?

Cities in Maryland with the most Remote Data Analysis job openings:

Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Maryland as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.

Clinical Transformation Data Scientist, Remote

University of Maryland Medical System

Baltimore, MD • Remote

Full-time

Posted 8 days ago

Job description

Job Requirements

Join a leading academic medical center dedicated to advancing healthcare through innovation and data-driven insights. We are committed to transforming clinical care by leveraging cutting-edge analytics and fostering a culture of continuous improvement.

We are seeking a highly skilled Clinical Transformation Data Scientist to join our team in 2026. This role focuses on applying advanced data science techniques to healthcare data within an academic medical center setting. The ideal candidate will drive clinical transformation initiatives by developing predictive models, optimizing clinical workflows, and generating actionable insights that improve patient outcomes and operational efficiency.

Responsibilities:

  • Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation. 
  • Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges. 
  • Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes. 
  • Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways. 
  • Support clinical trials and research projects by providing robust data analysis and visualization. 
  • Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities. 
  • Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards. 
  • Stay current with emerging data science methodologies, healthcare technologies, and industry best practices.

Work Experience

The ideal candidate will possess strong technical expertise in the latest data science technologies, applications, and software. This role requires hands-on experience with machine learning, artificial intelligence (AI), predictive modeling, and advanced analytics to drive clinical transformation initiatives. 

Education and Experience

  • Master's in Data Analysis field or a related field required. Doctoral preferred.
  • Three (3) years of Data Analytics and Database Management experience required
  • Clinical Background preferred
  • Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency. 
  • Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data. 
  • Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies. 
  • Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes. 
  • Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics. 

Knowledge, Skills and Abilities

  • Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics. 
  • Familiarity with AI and cognitive analytics is highly desirable. 
  • Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus. 
  • Epic certifications are highly preferred. 
  • Statistical analysis (experience with tools such as SAS, SPSS)
  • Experience using Tableau and/or Smartsheets software for data visualization
  • Excel expert including macros, visual basic
  • Advanced SQL, Excel and Vizient query languages and database design
  •  Metric quantitative and qualitative analysis
  •  Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
  • Expert at identifying data anomalies
  • Ensures, analyzes and monitors data quality
  • Strong analytic and problem-solving skills
  • Strong writing and editing skills
  • Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
  •  Ability to work cooperatively and effectively with people from various organizational levels
  • Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
  • Change oriented and actively supports process improvement   

Employment Type: FULL_TIME

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