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Weekend Data Jobs in Madison, WI (NOW HIRING)

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

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire) * Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. * 8-10+ years ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire) * Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. * 8-10+ years ...

Senior Data Analyst

Oregon, WI · On-site

$150 - $200/hr

THE ROLE At Thrive Market, data is core to how we operate, innovate, and grow. As we continue to scale, we're looking for a Senior Data Analyst to play a critical role in turning data into strategic ...

New

Operator - Weekend Shift

Sun Prairie, WI

$17 - $22.50/hr

Weekend Shift Hours: 7:00am-7:00pm Friday, Saturday and Sunday Overtime Available during the week ... Accurately recording production data * Constantly works to ensure equipment is exceeding ...

Showing results 21-40

Weekend Data information

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Madison, WI?

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

Infographic showing various Weekend Data job openings in Madison, WI as of September 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% In-person, 3% Hybrid, and 10% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago


Job description

Sub-Zero, Wolf, and Cove the leading manufacturer of luxury kitchen appliances is a longstanding, family-owned company in the Madison area. Icons of design and paragons of performance and quality, Sub-Zero, Wolf, and Cove are the refrigeration, cooking, and dishwashing specialists found in world’s most luxurious homes. We look for team members who are driven by innovation and excellence, striving to serve our customers by doing what is right—with integrity, teamwork, and accountability.

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team utilizes a wide variety of advanced tools and technologies and works directly with a diverse community of leaders and stakeholders.

Growth and development are important aspects of this position. Whether you aspire to be a leader or a technical expert, this position will set you up for success in the future.

Primary Responsibilities

The Data Analyst II gathers, analyzes, and interprets data from across the organization delivering descriptive and predictive information for decision making. They design, develop, test, and implement data analyses, reporting, and visualizations to enable efficient, meaningful, and high value consumption of information assets. This role partners with business stakeholders to deeply understand their data needs and enable them with analysis techniques and reporting tools.

  • Work directly with stakeholders to understand and transform business requirements into data-driven solutions
  • Work iteratively, deploying changes using a CI/CD framework
  • Create relational and dimensional data models
  • Prepare reports and data visualizations
  • Proactively identify and mitigate data quality issues
  • Identify correlations, patterns, and trends in data sets
  • Train and mentor peers

We value our employees by providing:  

  • Competitive compensation based on skills  
  • Industry leading health, dental, and vision plans 
  • Generous 401 (K) savings and profit sharing 
  • On-site UW Health clinic, fitness center, and walking paths 
  • Education assistance and internal training programs 
  • Electric vehicle charging 
  • Maternity & paternity leave 
  • Interested in learning more on our robust benefits package we offer? Click here!

This position requires a pre-employment drug/alcohol test and background check, which will be administered after a conditional job offer is extended. A negative drug/alcohol test result is required for employment. Refusal to take the test or a positive result may disqualify a candidate from further consideration.  All drug testing will be conducted in accordance with federal and state laws.