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

Index Analytics

Junior Data Analyst

Baltimore, MD · On-site +1

$61K - $84K/yr

The Junior Data Analyst supports data-driven decision-making and operational improvement by analyzing data, evaluating business processes, and delivering actionable insights that improve efficiency ...

New

Moore

Campaign Data Specialist/Analyst

Lanham, MD · On-site +1

This full-time, salaried positionUS-based remote role Mooreis a data-driven constituent experience ... Strong analytical, troubleshooting, and problem-solving capabilities. * Demonstrated success ...

Innosoft Corporation

Sr Business Analyst

Windsor Mill, MD · Remote

$120K - $125K/yr

This is a remote position. Position Summary The Senior Business Analyst leads the Business Support ... Analytics & Reporting Leadership • Direct the Senior Data Analyst and BI/Reports Analyst as the ...

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 ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

... Poly Remote Type N/A Time Type Full time Description & Overview: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial ...

New

CareFirst

Technical Analyst (Remote)

Baltimore, MD · Remote

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 ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Baltimore, MD

Remote Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do remote data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data analyst in Baltimore, MD is $82,111.00, 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 Baltimore, MD? The most popular types of Data Analyst jobs in Baltimore, MD are:
What are popular job titles related to Remote Data Analyst jobs in Baltimore, MD? For Remote Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Baltimore, MD look for? The top searched job categories for Remote Data Analyst jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Data Analyst jobs? Cities near Baltimore, MD with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Baltimore, MD as of July 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% Remote job distribution, with an average salary of $82,111 per year, or $39.5 per hour.
Junior Data Analyst

Junior Data Analyst

Index Analytics

Baltimore, MD • On-site, Remote

$61K - $84K/yr

Other

Medical, Retirement

Posted yesterday

Job description

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
The Junior Data Analyst supports data-driven decision-making and operational improvement by analyzing data, evaluating business processes, and delivering actionable insights that improve efficiency, data quality, and program outcomes. This role integrates data analysis with business process analysis to ensure workflows, data capture practices, and reporting outputs are aligned and produce accurate, consistent, and measurable results.
The Analyst identifies process inefficiencies and data gaps, defines performance metrics, and translates findings into standardized workflows, improved data collection practices, and targeted recommendations. The role also supports reporting, system requirements, and continuous improvement efforts by ensuring alignment between business processes, data structures, and technology capabilities.
This position requires an in-person interview at our HQ.
Responsibilities
  • Collect, validate, and analyze data from multiple sources to support operational decision-making, performance monitoring, and program outcomes
  • Develop reports that communicate trends, risks, and performance insights to technical and non-technical stakeholders
  • Define, track, and maintain KPIs, baselines, and performance metrics aligned to business and operational goals
  • Analyze and document current-state business processes to identify inefficiencies, control gaps, and inconsistent workflows
  • Evaluate how data collection practices impact process performance, data quality, and reporting accuracy; recommend improvements to strengthen data integrity
  • Identify gaps in data capture, documentation, and system workflows that lead to incomplete, inconsistent, or unreliable data
  • Translate analytical findings into actionable recommendations, including process improvements, workflow standardization, and data collection enhancements
  • Support development of standardized procedures, intake guidance, and prioritization frameworks to improve consistency, efficiency, and decision-making
  • Perform trend and root cause analysis to identify systemic issues, recurring drivers, and opportunities for continuous improvement
  • Establish and support feedback loops that link data insights to operational changes, training, and process refinements
  • Collaborate with stakeholders to gather requirements and ensure alignment between business processes, data structures, and system capabilities
  • Support system design, testing, and enhancement by defining business and data requirements and validating that tools enable accurate data capture and reporting

Required
  • U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three (3) of the past five (5) years. Must be able to obtain a U.S. Federal government client badge and pass a government Public Trust.
  • Bachelor's degree in Analytics, Business, Education, Human Services, or a related field (or equivalent experience) with one (1) or more years of relevant work experience.
  • Strong data analysis, reporting, and performance measurement skills
  • Ability to analyze both data and business processes to identify gaps and improvement opportunities
  • Advanced proficiency with excel spreadsheets for analysis and reporting
  • Ability to communicate complex findings in clear, plain language
  • Strong stakeholder collaboration, requirements gathering, and documentation skills
  • Attention to detail with a focus on data quality and process accuracy

Preferred
  • Experience with data visualization tools (e.g., Power BI, Tableau)
  • Proficiency in SQL for data querying and analysis
  • Familiarity with data governance, compliance, and audit-supporting environments
  • Experience supporting Agile or iterative delivery models

Attention Candidates
We're dedicated to ensuring a safe and transparent recruitment process for all candidates and have implemented robust measures to protect your personal information. Please be aware that all employment-related communications will originate from a secure portal (NAME@msg.paycomonline.com) or a corporate email address (NAME@index-analytics.com). If you have any concerns, please don't hesitate to reach out to us at recruiting@index-analytics.com.
If you are selected for an interview, please be advised that Index Analytics LLC reserves the right to prohibit the use of artificial intelligence (AI) tools, including but not limited to AI-generated responses, real-time transcription, or automated assistance during the interview process. We value authentic interactions and the opportunity to engage directly with candidates. Any unauthorized use of AI may result in disqualification from consideration.
The salary range provided represents the estimated compensation for new hires in this position, applicable across all locations. Actual offers may vary based on factors such as the candidate's skills, qualifications, experience, and market conditions. Index complements its base salary offering with a competitive package that includes health and retirement benefits, discretionary bonuses, and reimbursement for professional development opportunities.
Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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