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Weekend Data Analyst Jobs in Charleston, SC (NOW HIRING)

Ignite Digital

Data Analyst

Charleston, SC · On-site

$105K/yr

Ignite Digital has an exciting opportunity for a Data Analyst to support our client engagement within the federal government for the Charleston, SC or Washington, DC area. The ideal candidate is a ...

Koniag, Inc.

FOIA Analyst

Charleston, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The FOIA Analysts will support government Freedom of Information Act operations. As key personnel ... Update case management systems for data accuracy * Manage correspondence and communications

kgs

FOIA Analyst

Charleston, SC

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The FOIA Analysts will support government Freedom of Information Act operations. As key personnel ... Update case management systems for data accuracy * Manage correspondence and communications

kgs

FOIA Analyst

Charleston, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The FOIA Analysts will support government Freedom of Information Act operations. As key personnel ... Update case management systems for data accuracy * Manage correspondence and communications

kgs

FOIA Analyst

Charleston, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The FOIA Analysts will support government Freedom of Information Act operations. As key personnel ... Update case management systems for data accuracy * Manage correspondence and communications

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Charleston, SC

Weekend Data Analyst information

See Charleston, SC salary details

$31.8K

$77.3K

$127.3K

How much do weekend data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for weekend data analyst in Charleston, SC is $77,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 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.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Charleston, SC?

The most popular types of Data Analyst jobs in Charleston, SC are:

What are popular job titles related to Weekend Data Analyst jobs in Charleston, SC?

For Weekend Data Analyst jobs in Charleston, SC, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Charleston, SC look for?

The top searched job categories for Weekend Data Analyst jobs in Charleston, SC are:

What cities near Charleston, SC are hiring for Weekend Data Analyst jobs?

Cities near Charleston, SC with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Charleston, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $77,336 per year, or $37.2 per hour.

Data Analyst

Ignite Digital

Charleston, SC • On-site

$105K/yr

Full-time

Re-posted 26 days ago

Job description

Ignite Digital has an exciting opportunity for a Data Analyst to support our client engagement within the federal government for the Charleston, SC or Washington, DC area. The ideal candidate is a self-starter with strong analytical skills and a strong work ethic. This position serves an important role in supporting the Navy's ability to recruit, onboard, and retain top-talent through Data Modeling and analysis of work-flow processes.


Responsibilities:

  • Evaluate, develop, and implement solutions within current business processes to optimize efficiencies in collaboration with process SMEs
  • Evaluate current workflows for potential bottlenecks and make recommendations for automation of manpower tasks
  • Design and deliver dashboards that reconcile key performance indicators and operational data for the command to drive actionable objectives
  • Identify methods to collect, analyze, and manage data with the goal of making recommendations to improve data quality and the efficiency of the workflow
  • Evaluate the performance and applicability of tools against customer and client requirements
  • Foster collaborative business relationships with stakeholders, business partners, and team members
  • Collaborate with Navy clients on enterprise reporting and objectives
  • Translate high-level business requirements into functional specifications and reports


Minimum Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology, Data Science, other related field
  • Active DoD SECRET security clearance
  • Experience with DoW/NAVWAR business practices, data management systems and processes
  • High proficiency in Data Visualization and Data Modeling
  • Intermediate to Advanced proficiency in Data Cleansing
  • High proficiency and experience with BI Tools (ie. Tableau)
  • Intermediate Python knowledge/experience
  • Intermediate proficiency in SQL
  • Advanced proficiency in Microsoft Excel
  • Experience developing, implementing, analyzing, and supporting data modeling
  • Strong customer service experience
  • Strong communication skills
  • Experience working with a variety of stakeholders, from managers to technical resources, to include the translation of business requirements into operational measures and reports
  • Demonstrated experience in handling large data sets and communication through reports
  • Ability to take initiative and work independently, and quickly transition to reassess priorities

Preferred Qualifications:

  • Knowledge of the system development life cycle, software project management approaches and requirements, design and test techniques including experience working in a DevOps/DevSecOps delivery environment
  • Experience with onboarding (e.g. CAC, Clearance, Base Access, etc) personnel to support government contracts
  • Adapts quickly to new situations, is willing to learn new technologies and works well in a team environment, leading individual projects without the need for supervision

Salary: $105k+ to align with experience and education

Apply