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Weekend Data Analyst Jobs in Charlottesville, VA

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 ...

Competitive pay with shift/weekend differentials * Employee discounts at the cafeteria, gift shop ... data analysis regarding charging practices, payer reimbursement, and other revenue integrity ...

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Weekend Data Analyst information

See Charlottesville, VA salary details

$33.7K

$82K

$134.9K

How much do weekend data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for weekend data analyst in Charlottesville, VA is $81,984.00, 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 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 Charlottesville, VA?

The most popular types of Data Analyst jobs in Charlottesville, VA are:

What are popular job titles related to Weekend Data Analyst jobs in Charlottesville, VA?

For Weekend Data Analyst jobs in Charlottesville, VA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Charlottesville, VA look for?

The top searched job categories for Weekend Data Analyst jobs in Charlottesville, VA are:

What cities near Charlottesville, VA are hiring for Weekend Data Analyst jobs?

Cities near Charlottesville, VA with the most Weekend Data Analyst job openings:

Data Analyst

STI

Charlottesville, VA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Title: 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 migration project, and create Business Intelligence reports and dashboards.
Mgr agrees to initial Virtual IVs but reserves the option to request an IN PERSON IV if needed.
The selected candidate must be able to work IN PERSON (ON SITE) for the first full week (5 days) of the engagement-- then a minimum of one day a week ON SITE thereafter REQUIRED. The candidate must have access to broadband internet and a home office free from distractions to qualify for remote work. The candidate can optionally work in person if preferred. Pls do not submit if they cannot agree to this arrangement.
Additional in-person days may be necessary for meetings with clients.
Parking is free at our facilities.
The employee cannot have billable hours on our government holidays.
Must work independently or as part of a small team on projects.
Years of Experience: 4-6
Days on Site per week: 1-2
Day to day responsibilities
Initial workload will be heavily focused on creation of SSRS reports, utilizing mockups provided by a configuration team to customize standard vendor provided reports.
Working on ETL processes to clean and load data to on-prem and cloud databases, SQL Server scripting and querying, and Business Intelligence report creation are other likely duties.
The Data Analyst will work with other ACIT team members, department stakeholders, vendors, and partners in the design, development and implementation of reporting, integration and data analytics solutions.
Required Skills
Expertise in designing, developing, and deploying SSRS reports.
Proficiency with SQL Server
Strong knowledge of SQL for querying relational databases
Experience with complex queries, joins, subqueries, and data manipulation.
Perform data analysis, data profiling, SQL coding/query tuning, data modeling, and data validation
Work and partner with internal stakeholders to develop reports or address data access and visualization needs
Experience in data modeling with strong and demonstratable data management skills
Desired Skills/Experience
Power BI report development
Experience with Azure data warehousing solutions
Experience with Azure ETL (Extract, Transform, Load) processes and tools
Experience with Microsoft Fabric
Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation.