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

J29 Inc.

Data Analyst IV - Contingent

Millersville, MD · On-site +1

$75K - $90K/yr

Data Analyst IV Location: Remote About J29 J29 is an employee centered healthcare management consulting company that specializes in processing, reviewing, and analyzing medical claims, records ...

T. Rowe Price

HR Data Analyst

Owings Mills, MD · Hybrid

The Analyst will gather data and analyze compensation trends in the external market, make recommendations to ensure that T. Rowe Price jobs are appropriately aligned for internal equity and external ...

CareFirst

Lead Data Analyst (Remote)

Baltimore, MD · Remote

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

CareFirst

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

The Senior Data Analyst is responsible for ensuring the accuracy, completeness, and regulatory compliance of data supporting Risk Adjustment programs, CMS submissions, and associated healthcare ...

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Weekend Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do weekend data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data analyst in Baltimore, MD is $82,114.00, 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.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

What are the key skills and qualifications needed to thrive as a weekend data analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
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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:

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For Weekend Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Baltimore, MD look for?

The top searched job categories for Weekend Data Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Weekend Data Analyst jobs?

Cities near Baltimore, MD with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 57% Full Time, 11% Temporary, and 32% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Data Analyst IV - Contingent

J29 Inc.

Millersville, MD • On-site, Remote

$75K - $90K/yr

Full-time

Posted 4 days ago

Job description

*This position is contingent upon the successful award of the associated contract. Employment is not guaranteed until the contract is awarded, and the position is officially activated. Job responsibilities and requirements are subject to change.
Position: Data Analyst IV
Location: Remote
About J29
J29 is an employee centered healthcare management consulting company that specializes in processing, reviewing, and analyzing medical claims, records, disputes, and audits. Established in 2017, J29 prides itself on its employee centric culture and high employee retention rates that allow us to ensure that we are creating a working environment that prioritizesthe employeeexperience. Our team brings corporate performance that stretches to various areas where we can provide our clinical, healthcare policy, and complianceexpertisethrough our support to health and human service programs at the State, Federal, and Commercial levels.
Role & Responsibilities
  • Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc.) to manipulate and analyze data, identifying trends in data to pinpoint variances, outliers, and percentile-ranked groups that provide actionable insight opportunities for quality improvement or in-depth investigations.
  • Collaborates with other data analysts to create tabular and graphical presentations that clearly illustrate current levels of care, ensuring complex data is accessible and understandable for both technical and non-technical stakeholders.
  • Contributes to the design of re-measurement strategies to assess the efficacy of interventions, leveraging analytical reports to effectively quantify their impact on healthcare improvement.
  • Provides data preparation and cleaning. Develops and implements statistically sound sampling methodologies. Applies highly developed methods analyzing trend data to identify potential opportunities, variances, significant outliers, and percentile-ranked groups for quality improvement or focused investigations.
  • Designs data analysis strategies to identify potential areas for quality improvement or focused investigation, ensuring epidemiological soundness.
  • Develops epidemiologically sound indicators of the quality of care and processes to analyze data to summarize into quality indicator values.
  • Benchmarks external standards of care for comparative purposes and adapts the organization's standards of care to meet benchmarks.
  • Instructs team members on best practices for writing draft reports and preparing draft manuscripts for publishing in peer-reviewed journals, ensuring clear and concise illustration of current levels of care.
  • Develops industry-leading interventions, such as educational materials for doctors and nurses, aimed at improving healthcare processes and outcomes.
  • Designs re-measurement strategies after interventions to effectively quantify the impact of interventions for improvement.
  • Consults on re-measurement data and summarizes it into quality indicator values, contributing to the development of comprehensive reports.
  • Mentors junior Data Analysts in all technical aspects of their work, leveraging developed expertise with standard concepts, practices, and procedures in the field.
  • Develops code to join multiple relational database tables required to conduct various analyses.
  • Supports onboarding of new associates.

Experience / Expertise
  • Bachelor's degree (BA or BS) in Statistics, Biostatistics, Epidemiology, Public Health or related discipline (e.g., Economics, Mathematics, Engineering, Computer Science) required.
  • One (3) to three (5) years of relevant professional experience.
  • Minimum of 2 years of hands-on SAS or other statistical programming work experience or demonstrated combination of education and experience.
  • Working knowledge of healthcare systems, Medicare/Medicaid preferred, healthcare databases and coding systems.
  • Experience with health-related analytic research and quality improvement methodology (ISO, CQI, TQM, Six Sigma, Lean, Etc.) preferred.

Salary: $75,000-90,000 depending on years of experience
J29, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. J29, Inc. is a proud Veteran friendly employer.
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About J29

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

1 - 10 Employees

Headquarters location

Millersville, MD, US

Year founded

2017

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