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Weekend Data Jobs in Wisconsin (NOW HIRING)

The Data Analyst position provides complex and high-quality data analysis in support of WFAA fundraising, marketing and engagement goals, translates business objectives into analytics solutions ...

New

We are searching for a Data Analyst to join our Data & Insights team with a strong focus on building highquality Power BI dashboards, reports, and KPIs. This role partners closely with business teams ...

Monday-Friday 8:00 am - 5:00 pm Are you ready to dive into the world of data and make a real impact? At Peoples State Bank in Wausau, WI, your analytical skills will shine in a vibrant, team-oriented ...

The Data Analyst position provides complex and high-quality data analysis in support of WFAA fundraising, marketing and engagement goals, translates business objectives into analytics solutions ...

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable insights that support strategic decision-making. The role serves the division through statistical ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable insights that support strategic decision-making. The role serves the division through statistical ...

Data Analyst Apply now Description - External At TTEC, were all about the Human Experience. Elevated. As a Data Analyst working from office Krakow, Poland , you will be a part of creating and ...

Additional information can be found at www.ttm.com TTM Technologies is seeking a Data Analyst with and understanding of Quality Production Engineering. This role will design, develop, and maintain ...

Determine the correct data sets and variables * Collect large sets of structured and unstructured data from disparate sources * Clean and validate the data to ensure accuracy, completeness, and ...

Data Engineer

Stevens Point, WI

$111.40K - $133.70K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data infrastructure and pipelines that enable Delta Dental of Wisconsin to collect, process, and access high ...

Data Engineer

Madison, WI · On-site +1

$82.13K - $102.60K/yr

Under the supervision of the Manager of Court Data and Analytics the Data Engineer will focus on building and maintaining the Circuit Court Data Warehouse using advanced extraction, transformation ...

New

Data Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

Data Engineer

Milwaukee, WI

$112.80K - $135.50K/yr

The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for designing, developing, deploying, and supporting cloud based data and software solutions across the ...

Data Engineer

Schofield, WI · On-site

$114.10K - $137.10K/yr

Description: We're seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

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Weekend Data information

See Wisconsin salary details

$8

$17

$42

How much do weekend data jobs pay per hour?

As of May 30, 2026, the average hourly pay for weekend data in Wisconsin is $17.67, according to ZipRecruiter salary data. Most workers in this role earn between $12.29 and $17.78 per hour, depending on experience, location, and employer.

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 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 are the main responsibilities and challenges of working as a Weekend Data Analyst?

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 Weekend Data jobs?

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 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 Wisconsin? The most popular types of Data jobs in Wisconsin are:
Data Analyst

Full-time

Retirement

Posted yesterday


Job description

Overview

The Wisconsin Foundation and Alumni Association (WFAA)*, the private fundraising and alumni relations organization for UW-Madison, is recruiting for a Data Analyst to join our Data Analytics Team. The Data Analyst position provides complex and high-quality data analysis in support of WFAA fundraising, marketing and engagement goals, translates business objectives into analytics solutions, deploys complex data mining, modeling and statistical techniques and summarizes key findings and insights to stakeholders to inform business strategy and optimize results.


Responsibilities
Data Analysis and Modeling
  • Analyze and segment suspect pools for development, as well as target audiences for engagement and marketing, to maximize business results. Leverage statistical tools and techniques including data mining, predictive modeling, geospatial analysis and multivariate regression analysis.
  • Develop quantitative analyses on the dynamics of donor behavior, using behavioral models and other statistical techniques.
  • Design complex data analyses of WFAA initiatives including responses to marketing efforts, cultivation, solicitation and stewardship activities.
  • Analyze prospect universe and movement of prospects through the pipeline, in order to inform development team assessment and strategy.
  • Deliver statistical trend analysis, including performance, forecasting and projection reports.
  • Provide campaign design support for marketing efforts.

Internal Consulting

  • Collaborate with Research & Prospect Management and Development staff to understand and inform unit prospecting priorities and constituencies.
  • Collaborate with Annual Giving, Alumni Relations and Engagement staff to understand and inform marketing and audience segmentation priorities and strategies.
  • Present analytical findings to various stakeholders, advising on how to use results to inform business strategy.
  • Collaborate with Data Warehouse and Business Intelligence teams to understand data needs and priorities, identify opportunities for analytics services, and operationalize analytics tools into reports.

Data Management Duties

  • Identify and manage data acquisition projects in support of analytics, including wealth screening, demographic and behavioral profiles, discretionary spending, etc.
  • Advise on data processing and quality assurance activities. Make recommendations for opportunities for improvement through audit reporting, business process and training.
  • Manage the capacity, readiness and other modeling or rating scores. Support dynamic scoring and advise on solutions for delivering scores to stakeholders.

Qualifications
  • Bachelor’s degree (or higher) in applied quantitative discipline (e.g. statistics, mathematics, economics, or other quantitative sciences) is preferred.
  • 2 + years of demonstrated analytical experience preferred, along with experience supporting internal or external clients.
  • Solid understanding of relational database concepts. Intermediate SQL (preferably T-SQL) skills including but not limited to complex SQL statements, stored procedures, user defined functions, etc.
  • Experience with a data science programing language such as R or Python. Proficiency with at least one of these tools is preferred.

WFAA is committed to provide our employees with an environment that is inspiring, creative and respectful. The Data Analyst is a full time exempt position and reports to the Data Warehouse and Business Intelligence Technical Manager. We offer a competitive salary and an excellent benefits program, which includes a 10% 401k contribution after 1 year of service

Just as the university community benefits from differing viewpoints, perspectives, and experiences, inclusion and diversity are imperative for the success of our mission. WFAA values people and the differences that they bring to the organization, and creates an environment in which all staff members and constituents feel respected and have opportunities to thrive.  

The Wisconsin Foundation and Alumni Association is an Equal Opportunity Employer *The Wisconsin Foundation and Alumni Association is the “doing business as” name of the merged organization comprising the University of Wisconsin Foundation (supportuw.org) and the Wisconsin Alumni Association (uwalumni.com). Its legal corporate name is registered as the University of Wisconsin Foundation.

Qualifications:
  • Bachelor’s degree (or higher) in applied quantitative discipline (e.g. statistics, mathematics, economics, or other quantitative sciences) is preferred.
  • 2 + years of demonstrated analytical experience preferred, along with experience supporting internal or external clients.
  • Solid understanding of relational database concepts. Intermediate SQL (preferably T-SQL) skills including but not limited to complex SQL statements, stored procedures, user defined functions, etc.
  • Experience with a data science programing language such as R or Python. Proficiency with at least one of these tools is preferred.

WFAA is committed to provide our employees with an environment that is inspiring, creative and respectful. The Data Analyst is a full time exempt position and reports to the Data Warehouse and Business Intelligence Technical Manager. We offer a competitive salary and an excellent benefits program, which includes a 10% 401k contribution after 1 year of service

Just as the university community benefits from differing viewpoints, perspectives, and experiences, inclusion and diversity are imperative for the success of our mission. WFAA values people and the differences that they bring to the organization, and creates an environment in which all staff members and constituents feel respected and have opportunities to thrive.  

The Wisconsin Foundation and Alumni Association is an Equal Opportunity Employer *The Wisconsin Foundation and Alumni Association is the “doing business as” name of the merged organization comprising the University of Wisconsin Foundation (supportuw.org) and the Wisconsin Alumni Association (uwalumni.com). Its legal corporate name is registered as the University of Wisconsin Foundation.

Education:UNAVAILABLEEmployment Type: FULL_TIME