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Weekend Data Analyst Jobs in Oregon, WI (NOW HIRING)

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Weekend Data Analyst information

See Oregon, WI salary details

$33.4K

$81.1K

$133.5K

How much do weekend data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for weekend data analyst in Oregon, WI is $81,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 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 Oregon, WI?

The most popular types of Data Analyst jobs in Oregon, WI are:

What job categories do people searching Weekend Data Analyst jobs in Oregon, WI look for?

The top searched job categories for Weekend Data Analyst jobs in Oregon, WI are:

What cities near Oregon, WI are hiring for Weekend Data Analyst jobs?

Cities near Oregon, WI with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Oregon, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,136 per year, or $39 per hour.

Collibra Data Governance Developer

Techvilla Solutions

Windsor, WI

Full-time

Posted 7 days ago


Job description

We are seeking an experienced Collibra Data Governance Developer to administer, customize, and enhance the Collibra data catalog platform. The ideal candidate will work closely with business stakeholders to understand data management processes, translate requirements into platform workflows, and develop solutions to support data governance initiatives.

This role will focus on Collibra platform configuration, workflow development, API integrations, user and asset administration, and automation using Java-based technologies. The candidate should have strong experience in data governance, data management concepts, workflow design, and application customization.

Primary Responsibilities
  • Administer and customize the Collibra Data Governance platform based on business and user requirements.
  • Configure and maintain users, roles, assets, domains, and security within Collibra.
  • Design and implement workflows using BPMN-based workflow engines such as Flowable or Activiti.
  • Develop and configure Java APIs and integrations to connect Collibra with external data sources and enterprise applications.
  • Collaborate with stakeholders to analyze business processes and translate requirements into scalable workflow solutions.
  • Customize user interfaces and optimize platform usability.
  • Support automation initiatives using scripting and programming languages including Java, Groovy, and Python.
  • Perform platform enhancements, troubleshooting, and ongoing administration activities.
  • Apply data governance and data management best practices to support enterprise data initiatives.
Required Qualifications
  • 5+ years of experience with Java and JavaScript API development.
  • 5+ years of experience with UI customization and optimization.
  • 5+ years of experience with workflow development and business process mapping.
  • 5+ years of experience in data governance, data management, or data catalog environments.
  • Experience working with Collibra platform administration and customization.
  • Strong understanding of REST APIs, integrations, and application workflows.
  • Experience with Java development tools such as Eclipse.
  • Experience with BPMN workflow frameworks (Flowable, Activiti, or similar).
Preferred Qualifications
  • Experience with Groovy scripting.
  • Python development experience.
  • Experience supporting enterprise data governance programs.
  • Knowledge of data cataloging, metadata management, and data stewardship concepts.
  • Strong analytical, problem-solving, and stakeholder communication skills.
Technical Skills
  • Collibra Data Governance Platform
  • Java
  • JavaScript
  • REST APIs
  • Groovy
  • Python (Nice to Have)
  • Eclipse
  • BPMN Workflow (Flowable / Activiti)
  • Data Governance
  • Metadata Management
  • Data Management