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

Bankers' Bank

Data Analyst - WI

Madison, WI · On-site

Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for advancing the Bank's data-driven capabilities by translating centralized data into actionable ...

Sub-Zero Group, Inc.

Data Analyst II

Madison, WI · On-site

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

Sub-Zero & Wolf Appliance

Data Analyst II

Madison, WI · On-site

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

UW Credit Union

Finance Data Analyst

Madison, WI · On-site

$86K - $95K/yr

As a Finance Data Analyst, you'll play a critical role in shaping strategies that improve member experiences, streamline operations, and support our mission of financial empowerment. **This position ...

UW Credit Union

Finance Data Analyst

Madison, WI

$86K/mo

As a Finance Data Analyst, you'll play a critical role in shaping strategies that improve member experiences, streamline operations, and support our mission of financial empowerment. **This position ...

UW Credit Union

Finance Data Analyst

Madison, WI · On-site

$65 - $95/hr

As a Finance Data Analyst, you'll play a critical role in shaping strategies that improve member experiences, streamline operations, and support our mission of financial empowerment. **This position ...

UW Credit Union

Finance Data Analyst

Madison, WI · On-site

As a Finance Data Analyst, you'll play a critical role in shaping strategies that improve member experiences, streamline operations, and support our mission of financial empowerment. **This position ...

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

Overview Join us during a busy season as a Sales Data Analyst-LTE! We are seeking a detail-oriented and analytical professional to provide immediate support for a high-volume sales claims processing ...

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

Overview Join us during a busy season as a Sales Data Analyst-LTE! We are seeking a detail-oriented and analytical professional to provide immediate support for a high-volume sales claims processing ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Madison, WI

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.
More about Weekend Data Analyst jobs

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 are popular job titles related to Weekend Data Analyst jobs in Madison, WI?

For Weekend Data Analyst jobs in Madison, WI, the most frequently searched job titles are:

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

The top searched job categories for Weekend 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:

Weekend Data Analyst jobs near you
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.

Data Analyst

Laurits R. Christensen Associates, Inc.

Madison, WI • On-site

$55 - $75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Key responsibilities

  • Collect and transform raw data into meaningful statistics, information, and explanations.

  • Clean, analyze, interpret, and display client data using different approaches and tools.

  • Assist senior team members in writing and reviewing reports.

Job description

Christensen Associates is looking for a full-time Data Analyst I to join our Madison, Wisconsin team. In this role, you will join a larger team of analysts to solve complex, real-world problems for a large logistics client.

Candidates must be willing and able to work in our Madison, Wisconsin office. This is not a remote position.

Candidates must be legally authorized to work in the U.S. for any employer. We are unable to sponsor individuals for a work visa or other employment authorization at time of hire or in the future (e.g., H-1B, green card, etc.).

Key Responsibilities:
  • Collect and transform raw data into meaningful statistics, information, and explanations.
  • Clean, analyze, interpret, and display client data using different approaches and tools.
  • Troubleshoot data issues when they arise and find creative solutions to complex problems.
  • Learn one or more areas of our client’s operations and their corresponding data sets and use that knowledge to answer questions.
  • Assist senior team members in writing and reviewing reports.
  • Provide data to others to fulfill project requirements (e.g., cost models, pricing strategies, regulatory reporting, and/or productivity measurement reports).
  • Identify and recommend process improvements and efficiencies.
Qualifications:
  • Bachelor’s or master’s degree in computer/data science, data analytics, economics, statistics, math, or similar with a history of strong academic performance. We are willing to consider December 2026 graduates, however, preference will be given to those who have graduated.
  • Analytically and technically minded with the aptitude, ability, and interest in solving complex problems and learning new things.
  • Knowledgeable in data analysis concepts (e.g., data cleaning, aggregation, visualization, etc.)
  • Proficient in the Microsoft Office Suite (with intermediate knowledge of Excel) and software used for data manipulation (e.g., Python, SQL, SAS, or similar).
  • Strong communication skills (verbal and written), organizational skills, and a rigorous attention to detail.
  • Able to work independently and as part of a team in a deadline-driven environment while handling multiple competing priorities.
  • Successful completion of a federal security clearance including drug screen and background check is required.
Why you should join our team:
  • Meaningful work – You’llwork alongside highly experienced experts to solve complex, real‑world problems using creativity, scientific rigor, and deep institutional knowledge.Our small teams and our flat organizational structure allow us to prioritize quick, direct contact with clients, allowing you to build relationships, understand client needs, and see the results of your work in real time.
  • Our ESOP sets us apart – Working at an employee-owned company meansyou’remore than just an employee, you’rean owner. Through the ESOP, you build real equity over time at no out-of-pocket cost, turning your everyday work into long-term financial growth. As the company succeeds, so do you. ESOPs also foster a culture of accountability, collaboration, and shared purpose, because everyone has a stake in the outcome. The result is a more transparent, motivating, and rewarding place to grow your career while building meaningful wealth for the future.
  • Total rewards package – We offer health, dental, vision, life/AD&D, long-term disability, a 401(k), and agenerous ESOP contributionthat grows as we grow.You’llalso receive paid holidays, vacation,sick, and personal time.We offer minimal travel,a casualdress code, private offices, and amenities like underground parking. Flexible schedules and comp time for hours over 40 support a healthy balance between work and life.
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