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Weekend Data Analyst Jobs in Virginia (NOW HIRING)

Data Analyst

Vienna, VA · On-site

$50 - $55/hr

  • Medical

  • Retirement

Data Analyst Location: Vienna, Virginia Duration: Initial 6 months contract with extensions Compensation: $50-55/hr Work Requirements: , Holders or or Authorized to work in US Primary Mission ...

New

Data Analyst

Herndon, VA

$60K - $70K/yr

  • Medical

  • Dental

  • Vision

... for data collection and analysis. - Administer quality control and process improvement activities, including data entry, data cleaning and data coding. - Merge multiple datasets using advanced ...

Data Analyst

Fairfax, VA · On-site

$28 - $30/hr

  • Medical

  • Life

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.

Conduct research and develop quantitative analytic reports using Air technology and data * Orally and visually present data-driven findings concisely and compellingly to internal teams, as well as ...

Conduct research and develop quantitative analytic reports using Air technology and data * Orally and visually present data-driven findings concisely and compellingly to internal teams, as well as ...

Data Analyst

Alexandria, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Analyst Position Type:Professional / Unclassified Department:LSUA ASA - Institutional Research and Effectiveness (Rocaille Von Roberts (00252662)) Work Location:LSU - Alexandria Pay Grade:

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 ...

Data Analyst Job Location - Richmond VA - Hybrid - 3 days week(Mandatory) Req - 104908-1 Need strong on Pyspark Need the skill summary for every candidate and also need to schedule a screening ...

Data Analyst

Alexandria, VA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Analyst Position Type:Professional / Unclassified Department:LSUA ASA - Institutional Research and Effectiveness (Rocaille Von Roberts (00252662)) Work Location:LSU - Alexandria Pay Grade:

Data Analyst

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Data Analyst, you will be working to identify internal/external databases to be connected within multiple data warehouse tools. You will work with both the external database administrators and ...

New

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance ...

Data Analyst

Arlington, VA · On-site

$64K - $124K/yr

The Data Analyst will use client platform data to identify trends, patterns, and actionable insights supporting mission objectives and system improvements. Work with stakeholders to define analytical ...

Conduct research and develop quantitative analytic reports using Air technology and data * Orally and visually present data-driven findings concisely and compellingly to internal teams, as well as ...

Data Analyst

Mclean, VA · On-site

  • Medical

  • Retirement

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

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Analyst

Tysons, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Alexandria, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Analyst Position Type:Professional / Unclassified Department:LSUA ASA - Institutional Research and Effectiveness (Rocaille Von Roberts (00252662)) Work Location:LSU - Alexandria Pay Grade:

Data Analyst

Arlington, VA

$85K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance ...

Showing results 41-60

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 Aug 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 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 are the most commonly searched types of Data Analyst jobs in Virginia?

The most popular types of 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 August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

$50 - $55/hr

Other

Medical, Retirement

Posted 2 days ago

New


Job description

Title: Data Analyst
Location: Vienna, Virginia
Duration:
Initial 6 months contract with extensions
Compensation: $50-55/hr
Work Requirements: , Holders or or Authorized to work in US
Primary Mission
Remediate a large data governance backlog by identifying key tables and creating required artifacts.
Core Skills
Project management, SQL, stakeholder communication, governance partnerships, analyst collaboration.
Growth Path
Potential transition toward business intelligence based on Power BI, SQL, and storytelling performance.
DESCRIPTION
This mid-level Data Analyst will lead the remediation of a large data governance backlog, with a primary focus on identifying priority tables and developing the governance artifacts needed to make those tables understandable, trusted, and reusable. The role will produce and coordinate artifacts such as data dictionaries, source-to-target mappings (STTM), critical data element (CDE) documentation, lineage context, and related metadata documentation. The analyst will work with governance partners, data owners, internal analyst teams, and subject matter experts to accelerate backlog clean-up while preserving quality, traceability, and business usability.
The successful candidate will combine strong SQL and analytical skills with disciplined project management and clear stakeholder communication. They will help democratize clean and governed tables for broader enterprise use, enabling business units to confidently benefit from internally warehoused data. Power BI experience is strongly preferred, particularly the ability to visualize remediation plans, progress, risks, and outcomes. Upon successful completion of the governance backlog, there may be an opportunity for the role to evolve into a more business intelligence-oriented position, depending on demonstrated capability in Power BI, SQL, and data storytelling.
RESPONSIBILITIES
Lead the end-to-end remediation plan for a large data governance backlog, including intake, prioritization, sequencing, status tracking, risk identification, and follow-through on deliverables.
Identify and prioritize key tables that require governance artifacts based on usage, business value, data sensitivity, reporting dependency, and readiness for broader enterprise consumption.
Create, validate, and maintain data dictionaries, source-to-target mappings (STTM), CDE documentation, metadata, lineage context, and related governance artifacts.
Use SQL to profile, validate, investigate, and document tables, fields, transformations, joins, business rules, and data quality considerations.
Partner with data governance teams to align deliverables with enterprise standards, metadata expectations, cataloging requirements, CDE practices, and artifact approval workflows.
Collaborate with internal analyst teams and subject matter experts who possess unique knowledge of business processes, table usage, definitions, and reporting dependencies.
Translate technical findings into clear, concise updates for stakeholders, including progress summaries, blockers, decisions needed, risks, dependencies, and recommended next steps.
Support democratization of clean, governed, well-documented tables so other business units can understand, discover, and use internally warehoused data appropriately.
Develop and maintain reporting or dashboard views, preferably in Power BI, to visualize remediation progress, backlog burn-down, artifact completeness, data readiness, and adoption opportunities.
Recommend improvements to documentation templates, governance intake processes, quality checks, and repeatable workflows that increase efficiency and reduce manual rework.
Ensure documentation is business-friendly, technically accurate, and usable by analysts, data stewards, governance partners, and leadership audiences.
Contribute to analytics and business intelligence work as backlog remediation matures, including dashboard requirements, data modeling support, visualization design, and storytelling with governed data.
Perform other duties as assigned.
QUALIFICATIONS
Significant experience researching, compiling, documenting, and validating data, business processes, data flows, and analytical workflows.
Advanced SQL skills, including the ability to query large datasets, assess table structures, validate field logic, investigate data quality issues, and interpret joins or transformations.
Demonstrated ability to manage complex workstreams with multiple stakeholders, dependencies, deadlines, deliverables, and quality expectations.
Experience creating or maintaining data dictionaries, metadata documentation, source-to-target mappings, data lineage notes, business definitions, or similar governance artifacts.
Working knowledge of data governance concepts, including metadata management, CDEs, data stewardship, data ownership, data quality, and governed data access.
Working knowledge of data warehousing concepts, database structures, ETL/ELT processes, and analytical data pipelines.
Strong communication skills with the ability to summarize technical findings, explain documentation needs, escalate blockers, and communicate progress to both technical and business audiences.
Advanced skill identifying business requirements, clarifying data definitions, resolving ambiguity, and recommending practical solutions.
Ability to partner effectively with governance teams, analysts, data owners, engineers, and business stakeholders to collect, validate, and publish high-quality documentation.
Advanced skill interpreting data models, tables, reports, and documentation and translating them into formats that support decision-making and enterprise reuse.
Experience with project tracking, issue management, status reporting, and documentation quality control.
Advanced Microsoft Excel skills and familiarity with collaboration tools used to manage inventories, deliverables, status updates, and documentation review cycles.
Bachelor''s degree in Information Systems, Computer Science, Engineering, Business Analytics, Data Analytics, or a related field, or the equivalent combination of training, education, and experience.
DESIRED QUALIFICATIONS
Power BI experience, including the ability to create dashboards that communicate plan, progress, risk, backlog burn-down, artifact completion, and adoption readiness.
Experience applying data storytelling principles to turn governed data into leadership-ready insights, decisions, and recommendations.
Experience with Microsoft Purview or similar data catalog, metadata management, or governance platforms.
Experience supporting enterprise-wide or cross-business unit data governance, reporting, analytics, or documentation initiatives.
Familiarity with semantic models, curated datasets, certified data products, self-service BI enablement, or analyst adoption programs.
PMP certification, Agile certification, or commensurate experience managing cross-functional projects or enterprise workstreams.
Advanced degree in Information Systems, Computer Science, Engineering, Business Analytics, Data Analytics, or a related field.
SUCCESS PROFILE
What success looks like in the first 6 to 12 months
A prioritized inventory of key tables requiring governance remediation is established and actively managed.
Governance artifacts are completed with clear definitions, accurate mappings, defensible validation, and stakeholder sign-off.
Backlog progress, blockers, and risks are visible through reliable reporting and, where possible, Power BI dashboards.
Governed tables become easier for internal teams and business units to discover, understand, and responsibly reuse.
The analyst demonstrates the SQL, Power BI, and storytelling capabilities needed to support a potential shift toward a broader BI role.
Role Evolution Note
The initial priority for this role is data governance backlog remediation. After meaningful progress or completion of that backlog, the role may evolve toward business intelligence responsibilities based on demonstrated strength in Power BI, SQL, data modeling, stakeholder consultation, and data storytelling.
  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan
  • …and much more!
 
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