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Weekend Data Analyst Jobs in Eugene, OR (NOW HIRING)

SQL, reporting tools, or data analysis tools preferred. Microsoft Office Suite applications. Competencies Adaptability Building Customer Loyalty Building Strategic Work Relationships Building Trust ...

SQL, reporting tools, or data analysis tools preferred. Microsoft Office Suite applications. Competencies Adaptability Building Customer Loyalty Building Strategic Work Relationships Building Trust ...

HRBP

Eugene, OR · On-site

Explore data, analyze trends that require intervention, and develop and implement solutions. This ... Work on various production shifts as necessary and work weekends as required. Manage mentoring ...

Home Inspector

Springfield, OR · On-site

$60 - $75/hr

... data collection, virtual tours, and relevant industry knowledge • Strong analytical ... Weekends as needed License/Certification: • Driver's License (Required)

Home Inspector

Springfield, OR · On-site

$60 - $75/hr

... property data collection, virtual tours, and relevant industry knowledge Strong analytical ... Choose your own hours Day shift Monday to Friday Weekends as needed License/Certification: Driver ...

Home Inspector

Springfield, OR · On-site

$60 - $75/hr

... property data collection, virtual tours, and relevant industry knowledge Strong analytical ... Choose your own hours Day shift Monday to Friday Weekends as needed License/Certification: Driver ...

Must possess strong analytical skills to assess data, facts and figures Competencies: * Thorough ... This position regularly requires long hours and frequent weekend work. Physical Demands: While ...

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Weekend Data Analyst information

See Eugene, OR salary details

$34.1K

$83K

$136.6K

How much do weekend data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data analyst in Eugene, OR is $82,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $97,400.00 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 Eugene, OR?

The most popular types of Data Analyst jobs in Eugene, OR are:

What are popular job titles related to Weekend Data Analyst jobs in Eugene, OR?

For Weekend Data Analyst jobs in Eugene, OR, the most frequently searched job titles are:

What cities near Eugene, OR are hiring for Weekend Data Analyst jobs?

Cities near Eugene, OR with the most Weekend Data Analyst job openings:

Data and Performance Analyst

PacificSource

Springfield, OR • On-site

$56K - $96K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


PacificSource rating

6.3

Company rating: 6.3 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

287th of 315 rated insurance


Job description

Looking for a way to make an impact and help people?
Join PacificSource and help our members access quality, affordable care!
PacificSource is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status, such as race, religion, color, sex, sexual orientation, gender identity, national origin, genetic information or age. PacificSource values the diversity of our community, including those we hire and serve. We are committed to creating and fostering a work environment in which individual differences and diversity are appreciated, respected and responded to in ways that fully develop and utilize each person's talents and strengths.
Develops and maintains operational reporting, performance dashboards, vendor scorecards, and analytical insights to support enterprise document services. Leverages data to drive operational excellence, evaluate vendor performance, identify cost-saving opportunities, and provide decision support for leadership and executive stakeholders.
Essential Responsibilities:
  • Develop, maintain, and enhance operational dashboards, scoreboards, and reporting for leadership and executive stakeholders.
  • Monitor and report on vendor performance, service levels, and contractual obligations.
  • Analyze operational trends, productivity metrics, and departmental KPIs to identify opportunities for performance improvement.
  • Provide analytical insights and recommendations to support operational decision-making and strategic initiatives.
  • Monitor print, fulfillment, and document services utilization to optimize operational efficiency and resource allocation.
  • Support budget planning, cost analysis, and identification of cost-saving opportunities.
  • Ensure the accuracy, integrity, and consistency of operational data and reporting.
  • Partner with operational leaders to identify and implement process improvements using data-driven analysis.
  • Prepare recurring and ad hoc reports to support business and operational needs.

Supporting Responsibilities:
  • Support enterprise and departmental initiatives as assigned.
  • Assist in the development of business cases and operational analysis.
  • Participate in operational excellence and continuous improvement projects.
  • Maintain reporting processes, documentation, and data definitions.
  • Meet department and company performance and attendance expectations.
  • Follow the PacificSource privacy policy and HIPAA laws and regulations concerning confidentiality and security of protected health information.
  • Perform other duties as assigned.

SUCCESS PROFILE
Work Experience: Minimum of 2 years of experience in business analytics, operational reporting, business intelligence, performance measurement, healthcare operations, finance or other data-driven analytical roles required. Experience developing reports, dashboards, and performance metrics preferred.
Education, Certificates, Licenses: Bachelor's degree in business administration, Finance, Healthcare Administration, Data Analytics, Information Systems, Statistics, or related field preferred. High school diploma or equivalent required.
Knowledge: Data analysis, reporting, and performance measurement methodologies. Business intelligence concepts and dashboard development. Operational analytics and key performance indicator (KPI) reporting. Microsoft Excel, Power BI, and other reporting or data visualization tools. Data validation, quality assurance, and reporting accuracy practices. Trend analysis, productivity measurement, and performance monitoring. Microsoft Office Suite applications, including Excel, Word, PowerPoint, and Outlook.
Competencies
Adaptability
Building Customer Loyalty
Building Strategic Work Relationships
Building Trust
Continuous Improvement
Contributing to Team Success
Planning and Organizing
Work Standards
Environment: Work inside in a general office setting with ergonomically configured equipment. Travel is required approximately 10% of the time.
Skills:
Accountability, Collaboration, Communication (written/verbal), Flexibility, Listening (active), Organizational skills/Planning and Organization, Problem Solving, Teamwork
Compensation Disclaimer
The wage range provided reflects the full range for this position. The maximum amount listed represents the highest possible salary for the role and should not be interpreted as a typical starting wage. Actual compensation will be determined based on factors such as qualifications, experience, education, and internal equity. Please note that the stated range is for informational purposes only and does not constitute a guarantee of any specific salary within that range.
Base Range:
$56,779.86 - $96,525.75
Our Values
We live and breathe our values. In fact, our culture is driven by these seven core values which guide us in how we do business:
  • We are committed to doing the right thing.
  • We are one team working toward a common goal.
  • We are each responsible for customer service.
  • We practice open communication at all levels of the company to foster individual, team and company growth.
  • We actively participate in efforts to improve our many communities-internally and externally.
  • We actively work to advance social justice, equity, diversity and inclusion in our workplace, the healthcare system and community.
  • We encourage creativity, innovation, and the pursuit of excellence.

Physical Requirements: Stoop and bend. Sit and/or stand for extended periods of time while performing core job functions. Repetitive motions to include typing, sorting and filing. Light lifting and carrying of files and business materials. Ability to read and comprehend both written and spoken English. Communicate clearly and effectively.
Disclaimer: This job description indicates the general nature and level of work performed by employees within this position and is subject to change. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications required of employees assigned to this position. Employment remains AT-WILL at all times.

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