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

Review data integrity, supporting ERP system enhancements, automating business processes, and delivering analytical insights that improve supply chain performance and decision-making. The Business ...

Review data integrity, supporting ERP system enhancements, automating business processes, and delivering analytical insights that improve supply chain performance and decision-making. The Business ...

Tableau, SQL and semantic data access mechanisms. Experience in driving analytics-enabled business process innovation. Has a broad level of understanding surrounding business information systems.

Must have data entry experience * Two years of customer service experience * Must have strong ... Must be available on some weekends as required Desired: * Experience with mortgage, consumer ...

Tableau, SQL and semantic data access mechanisms. Experience in driving analytics-enabled business process innovation. Has a broad level of understanding surrounding business information systems.

They are seeking a QlikView BI Analyst with a strong background in business analytics and data visualization to develop insights and drive business process innovation. The role involves working ...

They are seeking a QlikView BI Analyst to develop business analytics solutions and drive analytics ... The role involves working with data visualization tools and collaborating with team members to ...

The BI Analyst/Developer role serves as a key link between business stakeholders and technical ... Fabric, including data ingestion, pipelines, lakehouse and warehouse structures, medallion ...

Investigate payment processing data from multiple card brands and processors to identify the root ... Occasional evening and weekend work may be required as job duties demand. Travel Up to 25% travel ...

Sr. Data Scientist

Fort Mill, SC · On-site

$130K - $179K/yr

Analyze rate performance across markets and customer segments to identify where the business is ... and weekend work. All duties must be performed according to Sunbelt's safety policies and ...

Sr. Data Scientist

Fort Mill, SC · On-site

$130K - $179K/yr

Analyze rate performance across markets and customer segments to identify where the business is ... and weekend work. All duties must be performed according to Sunbelt's safety policies and ...

Sr. Data Scientist

Fort Mill, SC · On-site

$130K - $179K/yr

Analyze rate performance across markets and customer segments to identify where the business is ... and weekend work. All duties must be performed according to Sunbelt's safety policies and ...

Showing results 21-40

Weekend Data Analyst information

See Lancaster, SC salary details

$29K

$70.5K

$116K

How much do weekend data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data analyst in Lancaster, SC is $70,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $82,700.00 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 Lancaster, SC?

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

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

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

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

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

Full-time

Posted 6 days ago


Job description

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.


*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.

Primary Purpose of this Job

The primary purpose of this role is to support the Sales, Inventory, Operations Planning (SIOP) and Sales, Inventory, Operations Execution (SIOE) processes by developing, maintaining, and improving the systems, reporting, and data infrastructure that enable effective operational planning and execution.

This position is responsible for helping develop and mine operational data for use in supply chain planning. Review data integrity, supporting ERP system enhancements, automating business processes, and delivering analytical insights that improve supply chain performance and decision-making.

The Business Systems Analyst serves as the primary technical liaison between Supply Chain, Operations, Digital Technology (DT), Sales, and Finance.

Reporting & Business Analytics
  • Convert operational data into business insights.
  • Analyze trends and recommend improvements.
  • Create, develop, mine, and maintain data used for supply chain reports, operational reports, dashboards, and KPI scorecards.
Systems & ERP Support
  • Support Oracle ERP enhancements, upgrades, testing, and implementations of new systems.
  • Perform UAT.
  • Develop business requirements.
  • Validate ERP data.
  • Support reporting architecture using Oracle, SQL, OBIEE, ODBC, and Power BI.
  • Troubleshoot reporting and system issues.
Data Management & Governance
  • Maintain operational master data.
  • Monitor data quality.
  • Develop data governance standards.
  • Resolve data quality issues.
  • Support master data initiatives.
Process Improvement
  • Automate reporting.
  • Document business processes.
  • Support continuous improvement.
  • Implement planning tools.
  • Recommend technology improvements.
Cross Functional Support
  • Partner with Operations, Supply Chain, Sales, Finance, and DT.
  • Support SIOP/SIOE meetings.
  • Assist the Data Manager.
  • Maintain documentation.
  • Provide end-user support.
Education Required
  • Bachelor's degree in Business, Supply Chain, Information Systems, Data Analytics, Computer Science, Operations Management, or related discipline.
Experience Required
  • 2-4 years in Supply Chain, Manufacturing, ERP, Business Analytics, or Operations.
  • Oracle ERP experience preferred.
  • Experience with SQL, OBIEE, Power BI, ODBC, and Advanced Excel.
  • Manufacturing experience preferred.
Certification and Licensing Requirements
  • ASCM (APICS), Lean Six Sigma Green Belt, Microsoft Power BI, or Oracle certifications preferred.
Knowledge, Skills, and Abilities

Knowledge of SIOP/SIOE, manufacturing operations, Oracle ERP, SQL, data governance, and BI tools.

Skilled in data analysis, SQL, dashboards, report automation, ERP testing, and process documentation.

Ability to analyze data, translate business requirements, prioritize work, collaborate cross-functionally, and support continuous improvement.

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.


*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.