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Weekend Data Analyst Jobs in Virginia (NOW HIRING)

Data Analyst

Vienna, VA · On-site

$51 - $61/hr

Data Analyst Location: Vienna, Virginia- hybrid 3 days a week onsite Duration: Initial 6 months contract with extensions Compensation: $51/hr-$61/hr Work Requirements: US Citizen, GC Holders or or ...

Job Title: Data Analyst Location: Hybrid - Vienna, VA Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Basic Description The Data Analyst supports the Lending Data ...

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Description ...

Data Analyst

Annandale, VA · On-site

$62K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance ...

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Description ...

Data Analyst

Hampton, VA · On-site

$180K - $200K/yr

GovCIO is currently hiring for a Data Analyst to support Headquarters Air Force A2 with the design and implementation of a Zero Trust architecture. This position will be located at Langley AFB in ...

Data Analyst

Vienna, VA · Hybrid

$51 - $61/hr

Title: Data Analyst Location: Vienna, Virginia- hybrid 3 days a week onsite Duration: Initial 6 months contract with extensions Compensation: $51/hr-$61/hr Work Requirements: , Holders or or ...

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: Charlottesville, VA 22902 Duration: 12+ Months 8am to 4.30pm Description: Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

As a Data Analyst, you'll apply your technical and analytical capabilities to support key business and security objectives. This role involves working with stakeholders to clarify requirements ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

As a Data Analyst, you'll apply your technical and analytical capabilities to support key business and security objectives. This role involves working with stakeholders to clarify requirements ...

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 Our client, in the shipping and logistics/supply chain industry, is seeking a Data Analyst. This is a junior to mid-level, permanent/direct hire position. The employee will have ...

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 ...

Title: Data Analyst Location: Richmond, VA- Hybrid Duration: 12 Months Contract Experience required : 5+ years Note: Hybrid working out of our HQ office (3 days in office, 2 days remotely ...

Great Hill  is seeking a Data Analyst (with Data Management focus) in the National Capital Region to support the Defense Security Cooperation Agency (DSCA) Chief Data Officer and Artificial ...

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 ...

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Showing results 1-20

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 Jun 14, 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 visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently 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 valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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 are popular job titles related to Weekend Data Analyst jobs in Virginia? For Weekend Data Analyst jobs in Virginia, the most frequently searched job titles 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

$51 - $61/hr

Contractor

Medical, Retirement

Posted 10 days ago


Job description

Title: Data Analyst
Location: Vienna, Virginia- hybrid 3 days a week onsite
Duration:
Initial 6 months contract with extensions
Compensation: $51/hr-$61/hr
Work Requirements: US Citizen, GC Holders or or Authorized to work in US
Data Analyst
Basic Description
The Data Analyst supports the Lending Data Governance function by delivering advanced analytics, business intelligence, and data quality capabilities that enable data-driven decision-making and operational improvements.
This role operates within Lending Strategy's Data Governance Team and is responsible for performing complex analytical and statistical modeling on large data sets to support business operations and strategic objectives.
The analyst partners with business stakeholders, data stewards, and technology teams to define data requirements, validate data accuracy, and produce actionable insights. The role also contributes to metadata management and data governance initiatives that improve data reliability and consistency across the enterprise.
Responsibilities
• Develop and maintain advanced reporting, dashboards, and analytical models to support business objectives
• Define and validate functional requirements for analytics and business intelligence solutions
• Retrieve, clean, and analyze data to ensure accuracy and integrity of reported results
• Identify trends and patterns in business data and create visualizations to support decision-making
• Collaborate with business units to conduct needs assessments and deliver data-driven solutions
• Support data science and large-scale data initiatives through data preparation and analysis
• Maintain and enhance metadata artifacts, including Data Catalog and Power BI reporting assets
• Evaluate and improve the Data Governance and Metadata Collection Framework
• Mentor junior staff and contribute to development of best practices in analytics and governance
• Ensure compliance with data governance standards and support implementation of data quality controls
• Communicate analytical results effectively to stakeholders and leadership
Qualifications and Soft Skill Requirements
Required Qualifications
• Experience in data analysis, business intelligence, or analytics within an enterprise environment
• Demonstrated experience working with large datasets and performing complex analysis
• Experience developing dashboards, reports, and data visualizations
• Familiarity with data governance practices, metadata management, and data quality controls
• Experience working with cross-functional teams to define and validate data requirements
Soft Skill Requirements
• Strong analytical and problem-solving skills
• Ability to translate analytical results into business insights
• Effective communication skills for both technical and non-technical audiences
• Strong collaboration skills across business, governance, and technology teams
• Attention to detail with focus on data accuracy and integrity
• Ability to manage multiple priorities in a fast-paced environment
Desired Skills
• Experience with Power BI or similar business intelligence tools
• Familiarity with data catalog platforms and metadata management processes
• Exposure to data governance frameworks and enterprise data standards
• Experience supporting data science or big data initiatives
• Knowledge of financial services or lending domain data
• Experience mentoring or guiding junior analysts
• Experience contributing to data governance or metadata framework improvements
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan
  • ...and much more!

About INSPYR Solutions:
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the comp any has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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