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

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Establish the governance of data and algorithms used for analysis, analytical applications, and ... Ability to travel 25% of working time away from work location, may include overnight/weekend travel.

Establish the governance of data and algorithms used for analysis, analytical applications, and ... Ability to travel 25% of working time away from work location, may include overnight/weekend travel.

Responsibilities Data Visualization & Business Intelligence: Design, develop, and implement data ... Participate and contribute to strategies, standards, and best practices for data analysis and ...

Responsibilities Data Visualization & Business Intelligence: Design, develop, and implement data ... Participate and contribute to strategies, standards, and best practices for data analysis and ...

BI Analyst

Oregon, WI · On-site

$70 - $100/hr

Data Visualization & Business Intelligence: Design, develop, and implement data visualization and ... Participate and contribute to strategies, standards, and best practices for data analysis and ...

Showing results 21-40

Weekend Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137K

How much do weekend data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data analyst in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 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 Madison, WI?

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

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

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

Infographic showing various Weekend Data Analyst job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.

PeopleSoft Database Analyst -IV

3B Staffing LLC

Monona, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Responsibilities

  • Review current database Exadata architecture and create a new Exadata database architecture.
  • Create a migration strategy/plan for migrating databases to new Exadata.
  • Migrate databases to new Exadata and provide tuning, troubleshooting, and automation as required.

Required Qualifications

  • In-depth knowledge of Oracle database performance tuning.
  • Experience migrating databases to/from Exadata platform.
  • Experience with Oracle releases 19.x and 26.x, RMAN, Data Guard, scripting and automation.
  • Minimum 3 years of experience in Oracle database performance tuning.
  • Minimum 2 years of experience using multiple methods and technologies with RMAN, and Data Guard.
  • Minimum 3 years of experience performing detailed, highly technical root cause analysis of Oracle database systems.
  • Minimum 2 years of experience with ability to create scripts to automate processes in the Oracle database environments.

Preferred Qualifications

  • Excellent oral and written communication skills.
  • Experience in Higher Education - Highly complex environment, with diverse stakeholders.