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

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 ...

Delivers standard system and data analysis and helps with tools and technology implementations for Payment Integrity- clinical editing. Facilitate and coordinate building, document, and review of ...

Support audit readiness and data integrity activities, including primary source verification for ... Analyze workflow, quality, productivity, and measurement trends to identify improvement ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

... remote option for applicants who live outside of commuting distance to either of our offices and ... Experience with Crystal Reports, RENXT analytics tools, and Power BI/Fabrice is a plus. * Strong ...

New

... remote; onsite for key meetings/trainings as needed) Type: 12-month contract Schedule: 40 hours/week Pay (W2): $36/HR About the role We're looking for a Reporting Analyst who enjoys turning raw data ...

... remote; onsite for key meetings/trainings as needed) Type: 12-month contract Schedule: 40 hours/week Pay (W2): $36/HR About the role We're looking for a Reporting Analyst who enjoys turning raw data ...

... remote; onsite for key meetings/trainings as needed) Type: 12-month contract Schedule: 40 hours/week Pay (W2): $36/HR About the role We're looking for a Reporting Analyst who enjoys turning raw data ...

Data Modeler

Baltimore, MD · On-site +1

$54.50 - $70.50/hr

Hello Folks, Please find the below requirement and let me know your interest? 100% Remote W2 Role ... analytics systems. * Experience implementing and maintaining data modeling standards, best ...

Showing results 21-40

Remote Data Analyst information

See Pasadena, MD salary details

$34.5K

$83.9K

$138.1K

How much do remote data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote data analyst in Pasadena, MD is $83,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $98,500.00 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.

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

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

What are popular job titles related to Remote Data Analyst jobs in Pasadena, MD?

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

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

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

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

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

Infographic showing various Remote Data Analyst job openings in Pasadena, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,891 per year, or $40.3 per hour.

Marketing Data & Reporting Analyst

Moore DM Group LLC

Lanham, MD • On-site, Remote

$80K - $90K/yr

Full-time

Medical, PTO

Posted 8 days ago


Job description

Description
The Marketing Data and Reporting Analyst transforms marketing and campaign data into meaningful insights that drive strategic decision-making for Moore's nonprofit clients and internal Communications Division teams. This position serves as a reporting expert by developing scalable reporting solutions, building interactive Power BI dashboards, analyzing campaign performance across multiple marketing channels, and identifying opportunities to improve results. The ideal candidate is comfortable building sophisticated Power BI solutions, presenting trends and recommendations to account teams and leadership, solving data challenges, identifying patterns, and translating complex information into actionable business intelligence.
Moore is a data-driven constituent experience management (CXM) company achieving accelerated growth for clients through integrated supporter experiences across all platforms, channels, and devices. We are an innovation-led company that is the largest marketing, data, and fundraising company in North America, serving the purpose-driven industry with clients across education, association, political, and commercial sectors.
For more information about Moore, please visit www.wearemoore.com
Your Impact:
  • Prepare and deliver client reporting, including executive summaries, dashboards, performance metrics, and actionable insights.
  • Analyze marketing performance across paid, earned, owned, shared, email, media, and influencer channels, including ROI measurement.
  • Develop and maintain Power BI dashboards, data models, DAX measures, Power Query transformations, and visualizations.
  • Partner with cross-functional teams to define KPIs, integrate data sources, and support campaign measurement strategies.
  • Identify trends, validate data accuracy, investigate discrepancies, and provide strategic recommendations for optimization.
  • Standardize reporting processes, document methodologies, and present findings to internal teams and clients.

Your Profile:
  • Bachelor's degree in Analytics, Marketing, Business, Statistics, Computer Science, Information Systems, or related field.
  • 5 to 7 years of experience in marketing analytics, business intelligence, or campaign reporting.
  • 3+ years of hands-on Power BI dashboard development, data modeling, reporting, and maintenance.
  • Experience owning recurring reports and dashboards for executive, client, or senior stakeholder audiences.
  • Strong understanding of cross-channel marketing, media measurement, campaign performance, and ROI analysis.
  • Advanced Power BI expertise, including DAX, Power Query, interactive visualizations, and scheduled refreshes.
  • Ability to translate business needs into KPIs, dashboards, reporting frameworks, and actionable insights.
  • Advanced Excel skills with experience validating, reconciling, and analyzing data from multiple sources.
  • Strong analytical, problem-solving, communication, and presentation skills, with the ability to explain complex data to non-technical audiences.
  • Experience managing multiple priorities in fast-paced environments; SQL, GA4, CRM, marketing automation, and executive reporting experience preferred.

How We'll Support You:
  • To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including comprehensive healthcare, paid holidays, and generous paid time off so you can have the time and space to recharge and pursue your other passions and be with the people you care about.
  • Moore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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