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Weekend Data Analyst Jobs in Virginia (NOW HIRING)

The role supports workflow improvement, clinical data analysis, and validation work that informs practice and decision making across Health Services. This is a clinical facing role with a work focus ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems. Specific Duties * Develop an in-depth understanding of the interrelationships of data and multiple ...

Data Analyst

Arlington, VA · Hybrid

$100K - $124K/yr

SkyePoint Decisions is seeking a Data Analyst to support the Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems. Specific Duties * Develop an in-depth understanding of the interrelationships of data and multiple ...

Data Analyst LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and analytical Data ...

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD leadership on the development and execution of enterprise data strategies. Your primary function is to ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems. Specific Duties * Develop an in-depth understanding of the interrelationships of data and multiple ...

As a Data Analyst, you will play a key role in transforming data into actionable insights that help our clients make informed decisions. You'll collaborate with engineers, project and technical ...

Data Analyst LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and analytical Data Analyst ...

Data Analyst LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and analytical Data Analyst ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems. Specific Duties * Develop an in-depth understanding of the interrelationships of data and multiple ...

Data Analyst

Fairfax, VA · On-site

$28 - $30/hr

We are seeking a Data Analyst to become an integral part of our team! You will analyze data to understand business and market trends in order to increase company revenue and efficiency.

Data Analyst Job Location: Quantico, Virginia Overview: Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of ...

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Weekend Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do weekend data analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for weekend data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

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.

What are Weekend Data Analysts?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 are the most commonly searched types of Data Analyst jobs in Virginia? The most popular types of Data Analyst jobs in Virginia are:
What job categories do people searching Weekend Data Analyst jobs in Virginia look for? The top searched job categories for Weekend Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Weekend Data Analyst jobs? Cities in Virginia with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Virginia as of June 2026, with employment types broken down into 75% Full Time, 8% Part Time, and 17% Contract. Highlights an 91% In-person, 1% Hybrid, and 8% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Analyst

Cyber Resource

Richmond, VA

Contractor

Posted 12 days ago


Job description

Clinical Operations Informatics Specialist
Looking to translate between medical staff, the Electronic Health Record system, and clinical data needs. 
Candidate must be able to work on site. Local candidates are strongly preferred. 
The role supports workflow improvement, clinical data analysis, and validation work that informs practice and decision making across Health Services. This is a clinical facing role with a work focus on clinical practice and end user experience. They will work closely with the Health Services EHR team and alongside the technical teams responsible for EHR configuration and development.

Knowledge, Skills, Abilities or Competencies:

Minimum:

· Demonstrated experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary, enabling interoperability, clinical decision support, coding, and data analytics. 

· Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective. 

· Extensive experience pulling data out of electronic health record systems 

· Demonstrated experience answering clinical questions into analysis of data from an electronic health record system. 

· Demonstrated experience validating EHR data with outside data sources 

· Demonstrated experience validating EHR data through triangulation with other data within the EHR 

· Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management 

· Extensive experience with applying national EHR standards to an EHR product. 

· Demonstrated experience standardizing processes around an EHR implementation. 

· Demonstrated experience analyzing and documenting clinical workflows in a multidisciplinary care setting

· Demonstrated ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership

· Experience working in a multidisciplinary clinical environment with multiple stakeholder groups

 

Additional Considerations: 
Clinical or medical background (nursing, medicine, pharmacy, or similar) preferred
Correctional or institutional healthcare experience desired; experience in other constrained, multidisciplinary clinical environments may substitute
Experience with EHR systems in a clinical capacity required


Core Duties:
1. Clinical workflow documentation

·Documenting current workflows, identifying gaps, supporting staff-facing improvements, and contributing to standardization across state facilities. Establish documented inventory of HSU clinical workflows in EHR with prioritized improvement recommendations.


2. Data extraction, analysis and visualization

·Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets. Building reporting that informs practice, and otherwise visualizing data that supports leadership decision-making with evidence. Establish practice for clinical data extraction and reporting with some completed reports answering live HSU questions.


3. Validation and testing

·Validation of EHR updates from user perspective view.  Consistent testing coverage of the base system in addition to support for MAR and related project components. Establish documented reduction in validation gaps on EHR changes.


4. Direct support to medical staff

·Acting as a clinical point of contact for EHR-related questions and requests, with responsiveness as an explicit value. Successful handoff of documentation and established processes for continuity of work.