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

Use sophisticated data analysis methods to support project team in creating deliverable for client * Work with clients to devise methods to optimize data capturing schemes and overall program ...

Lead data warehousing efforts and performing data analysis as needed across sets of transactional, operational, device, and various other data sources. Coordinate with the development team, business ...

Data Analyst

Lanham, MD · On-site +1

$70K - $85K/yr

Description As a Data Analyst , your focus will be on collecting, analyzing, and interpreting marketing data to inform strategies and decisions for nonprofit clients across diverse channels. This ...

We are looking for a results-driven Data Analyst to join the Nuclear Command, Control, and Communications (NC3) Enterprise Center (NEC) team at Fort Meade, MD. This role is more than just a job-it ...

Data Analyst

Baltimore, MD · On-site

$76K - $120K/yr

FAMLI's Data and Performance Analytics team is the Division's engine for evidence-based decision-making. This team is responsible for integrating data across all functions-from claims and ...

As a Data Analyst , your focuswill be on collecting,analyzing, and interpreting marketing data to inform strategies and decisions for nonprofit clients across diverse channels. This role will give ...

We are looking for a results-driven Data Analyst to join the Nuclear Command, Control, and Communications (NC3) Enterprise Center (NEC) team at Fort Meade, MD. This role is more than just a job-it ...

Data Analyst

Annapolis, MD · On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain, and transition novel and innovative FMI applications, capabilities, tradecraft, and insight from ...

B. Perform data analysis to identify trends, patterns, and correlations. C. Create data models, algorithm, and statistical techniques to solve problems. D. Develop actionable insights based on ...

Lead Data Analyst

Fort George G Meade, MD · On-site

$144K - $154K/yr

GovCIO is currently hiring for a Data Analyst to lead development of data strategy. This position will be located in Fort Meaded, MD and will be an onsite position. Responsibilities The Data Analyst ...

Senior Data Analyst

Baltimore, MD · Hybrid

$85K - $107K/yr

Senior Data Analyst | Hybrid Schedule | High Visibility Role $115-125K Love turning complex data into business intelligence that drives decisions? Legacy Search Advisors has partnered with a local ...

Data Analyst 2

Annapolis, MD · On-site

$110K - $160K/yr

They analyze telemetry data from these systems to establish statistical baselines and create anomaly detection algorithms that can differentiate between typical operational variations and security ...

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Weekend Data Analyst information

See Chester, MD salary details

$33.5K

$81.4K

$134K

How much do weekend data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for weekend data analyst in Chester, MD is $81,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 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 Chester, MD?

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

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

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

Infographic showing various Weekend Data Analyst job openings in Chester, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,408 per year, or $39.1 per hour.

Data Analyst

Bowie, MD • On-site

ASHLIN Management Group, Inc.
11 - 50 employees

Full-time

Re-posted 14 days ago


Job description

 ASHLIN is an Equal Opportunity Employer. ASHLIN is also an Equal Opportunity of Protected Veterans and Individuals with Disabilities. 

 ASHLIN Management is a VEVRAA Federal Contractor and desires for Priority Referrals of Protected Veterans

 

DATA ANALYST 

JOB DESCRIPTION 

 

ASHLIN Management Group is seeking a Data Analyst to join our team working with our data analytics team. This professional will start off working with ASHLIN’s cloud-based visualization platform, CompassBI, powered by Sisense, on visualizing descriptive statistics and other key performance indicators and building ASHLIN’s library of dashboard templates. Additional projects will include supporting our team of project specialist in developing deliverables to our clients, based research and analysis methods, using statistical models on business data collected in field. Candidates should also be comfortable preparing routine as well as ad-hoc business reports and PowerPoint decks to present the information to senior management and clients. 

Essential duties and responsibilities


  • Develop visualizations using tools such as Tableau, PowerBI and/or Sisense 
  • Use sophisticated data analysis methods to support project team in creating deliverable for client 
  • Work with clients to devise methods to optimize data capturing schemes and overall program evaluation plan Perform statistical modeling (e.g. ANOVA) using statistical software applications such as R and SPSS 
  • Work with Senior Database Architect(s) to develop analytical SQL queries and reports for tracking, trending, and interpreting business data 
  • Perform ongoing data quality assessments, identify discrepancies/inconsistencies, and resolve them 
  • Continually improve the end-to-end process of data collection, transformation, analysis, and reporting 
  • Develop data management programs and forms for data entry and maintenance by end-users 
  • Document data analysis and reporting architecture, designs, and write user guides 
  • Other duties as defined by senior research team 

Qualifications

 

To be successful in this position, the Data Analyst must have a minimum of 3 years’ experience in: 

  • Data analysis, involved in both primary and secondary research using data to arrive at decision pertaining to marketing strategies 
    • Ability to interpret complex data sets (quantitative and qualitative) into insights that lead to effective marketing strategies and frameworks  
  • Strong data analysis modelling, specifically the successful candidate must be able to:
    • Conduct cross-tabular and ANOVA and other statistical analysis using R and/or SPSS
    • Interpret results of statistical analysis output and draw insights in order to make recommendations to senior management what steps to take
    • Present data, interpretation and resulting strategy in language that indicates a command of the material while at the same time making sense to lay persons who may not have a marketing and/or data analysis background  
  • Develop data reports using the following tools and technologies:

 

  • MS-Excel (Pivot Tables, VBA, Power Pivot, H-Lookup, V-Lookup, Import/Export from/to external data sources)
  • Online Dashboards (e.g. Tableau, PowerBI, Sisense)
  • Expert level skills in the development of highly impactful PowerPoint slide decks
  • Development of scheduled and ad-hoc reports and analysis.
  • Working in a team environment with responsibility for delivery of timely and accurate business-critical reports and analysis:
    • Self-motivated and proactive, willing to drive a program of work to successful completion,
    • Strong oral/written communication, and presentation skills,
    • Ability to work with highly sensitive information and preserve the confidentiality of the information,
    • Detail oriented and capable of identifying and resolving data quality issues.

In addition, the following are highly desirable:

 

  • A minimum of 3 years’ experience with statistical analysis tools (e.g. R, SPSS)
  • A background in market research, or related disciplines
  • Working knowledge of relational databases (e.g. SQL)

Position requirements include:

 

  • At least a Bachelor’s Degree in Math, Probability & Statistics, or related data science field
  • Master’s degree in any of the above disciplines is highly desirable, or MBA
  • High proficiency with statistical analysis tools
  • Only open to candidates US Citizens and Permanent Residents currently authorized to work in the US