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Weekend Data Analyst Jobs in Virginia (NOW HIRING)

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

Fairfax, VA · On-site

$93K - $140K/yr

Everforth ECS is seeking a Data Analyst to work in our Arlington, VA office. This candidate will serve as a key point of contact in managing data target and data quality aspects of the CDM Data ...

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.

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:

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

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 · 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

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

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 ...

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

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

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

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

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

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 ...

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 ...

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.

Other

Posted 6 days ago


Job description

Prefer Prior 1 cap or Strong Financial exp is needed

Role: 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 interview with me before submission on a teams video

Skills set



Skill

Experience

Self-Rating

PySpark

Python

Databricks

SQL

AWS (S3, Redshift)

Amazon QuickSight

Snowflake

Must Skills required

Pyspark- very strong – all the coding questions are on Pyspark , Python – Need to be very strong
Databricks
SQL  
AWS
Amazon Quick Sight dashboards.
Snowflake
 Interviews- 1 rounds of interview coding question on Pyspark & python , SQL , Amazon quicksight , Databricks

 Location:  Richmond VA-hybrid

Duration -3 months with possibility with extension as project will go up to more than 12 months

 This role is a part of the scanner mediation team which helps in converting large validated data from one infrastructure to another, scanning the HSA information with large amount of data .This  team has 2 developers /2 analysts and 3rd role will be reporting to the HM, partner with the partnership  team, daily stands up .


1. Data Ingestion & Missing File Reconciliation
Monitor automated enterprise notifications ensuring that structural migrations are captured and incoming datasets are mapped for assessment.
Analyze active AWS S3 storage buckets to calculate full counts of active data partition files.
Cross-reference S3 partition metrics against Snowflake metadata logging tables to run missing part-file reconciliation logic.
Identify missing scans or pipeline discrepancies and autonomously coordinate with the Enterprise SCAN team to initiate targeted ad-hoc data scanning requests.
2. Deep-Dive Vulnerability Analysis & Triage
Extract active security violation events from complex Snowflake analytical views
Build programmatic pivot metrics and classification profiles to map an exhaustive list of unique combinations of sensitive data types across multiple schema extensions.
Perform context-aware analysis inside Databricks platforms to evaluate unmasked validation values against underlying transactional metadata layouts.
Execute card data logic validation routines, validating raw payloads against the Luhn algorithm within our proprietary toolset.
Triage findings meticulously into defined structural buckets: True Positive, False Positive, or Unsure categories based on core risk profiles.
3. Compliance Tracking & Governance Engineering
Manage structural data dictionaries and trackers, including the DSF Backbook Migration Log and the Sensitive Data Classification Validation Log.
Isolate, format, and push verified false positives directly to data management platforms to run bulk suppression loads, systematically immunizing pipelines against redundant security alert fatigue.
Synthesize granular validation evidence sheets mapping schema properties, target data types, remediation rationale, and reference context profiles.
4. Remediation Validation & Dashboarding
Partner closely with data engineering operators to track the health of automated end-to-end data remediation routines executing via Databricks jobs.
Ensure strict risk isolation logic is sustained, confirming that downstream consumption layer systems remain locked until rescan validations return clean.
Perform end-to-end file auditing to verify that post-masked outputs generated inside targeted write paths precisely mirror input baseline file tallies.
Leverage Amazon QuickSight business intelligence environments to monitor visual tracking boards, ensuring zero data leakage or partition drops across integration scopes.
5. Cross-Functional Stakeholder Alignment
Prepare and frame analytical findings packets ahead of critical technical reviews.
Champion insights and drive live consensus calls within cross-functional operational meetings, including Daily Standups and Bi-Weekly SME Alignment Forums with Chief Data Office (CDO) leads and external integration points.
Technical Skills & Qualifications
Data Infrastructure Mastery: Extensive hand-on experience writing complex querying logic over structured and semi-structured architectures within Snowflake or equivalent enterprise cloud data platforms.
Advanced Data Processing Knowledge: Proven background working within Databricks compute frameworks to explore, extract, and inspect underlying enterprise code bases or dataset tables.
Cloud Architecture Fluency: Direct technical comfort querying, calculating, and inspecting cloud objects directly inside AWS S3 environments.
Data Visualization & Delivery: Experience configuring access and generating scannable metrics reporting within Amazon QuickSight dashboards.
Data Cleansing Logic: Deep comprehension of programmatic data filtration approaches, deduplication routines, and standard mathematical string validations (e.g., Luhn check patterns).
Agile Communications Delivery: Exceptional technical writing capacity to compile audit logs, create operational Markdown playbooks, and effectively drive multi-organizational daily tracking forums.