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

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Weekend Data Analyst information

See Chestertown, MD salary details

$32.5K

$78.9K

$129.8K

How much do weekend data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend data analyst in Chestertown, MD is $78,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 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.

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

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

What are popular job titles related to Weekend Data Analyst jobs in Chestertown, MD?

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

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

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

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

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

Infographic showing various Weekend Data Analyst job openings in Chestertown, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,899 per year, or $37.9 per hour.

Data Analyst - Delta Point

Delta Point LLC

Aberdeen Proving Ground, MD • On-site

Temporary

Posted 26 days ago


Job description

Job Type
Temporary
Description
Delta Point is seeking a temporary System Analyst to support our program at Aberdeen Proving Grounds. This position will play a key role in developing and maintaining Microsoft 365 solutions that improve training management, collaboration, knowledge management, and business operations. The role leverages Power Apps, SharePoint Online, workflow automation, and reporting tools to support mission objectives and digital modernization efforts.
Key Responsibilities
  • Develop, deploy, and maintain Power Apps solutions supporting training and mission-related business processes.
  • Design, administer, and enhance SharePoint Online sites, content, permissions, and collaboration tools.
  • Develop automated workflows and process improvements using Power Platform and Microsoft 365 technologies.
  • Create dashboards, reports, and data visualization tools to support leadership decision-making and training compliance.
  • Analyze business processes and user workflows to identify and implement efficiency improvements.
  • Conduct usability assessments and implement enhancements to improve user experience and adoption.
  • Troubleshoot application functionality, data integration, security permissions, and user access issues.
  • Develop technical documentation, process maps, SOPs, and end-user training materials.
  • Support knowledge management, organizational communications, and content management initiatives.
  • Collaborate with government personnel and stakeholders to deliver mission-focused solutions.

Requirements
  • 3+ years of experience supporting Microsoft Power Platform and SharePoint Online environments.
  • Experience with Power Apps, Power Automate, SharePoint administration, and workflow automation.
  • Experience translating business requirements into technical solutions.
  • Strong problem-solving, communication, and customer support skills.

Preferred Qualifications
  • Bachelor's degree in Information Technology, Computer Science, Information Systems, or related field; equivalent experience may be substituted.
  • Experience supporting U.S. Army, DoD, or Federal Government organizations.
  • Microsoft Power Platform, Microsoft 365, or SharePoint certifications.
  • Experience with Power BI, dashboard development, and data analytics.
  • Knowledge of Army knowledge management, training management, or workforce development programs.
  • Familiarity with DoD cybersecurity and information management requirements.