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Weekend Data 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 ...

New

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 ...

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 ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy. Through technical expertise, innovation, and collaboration, you'll help ensure our data is accurate ...

Milwaukee Tool

Operator - Weekend Shift

Sun Prairie, WI · On-site

$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 ...

Milwaukee Tool

Operator - Weekend Shift

Sun Prairie, WI · On-site

$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 ...

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Showing results 21-40

All JobsData JobsWeekend Data JobsWeekend Data Jobs in Madison, WI

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:

Weekend Data jobs near you
Infographic showing various Weekend Data job openings in Madison, WI as of August 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.

Data Analyst (WI)

Bankers' Bank

Madison, WI • On-site

Full-time

Posted 3 days ago

New

Job description

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to assisting community banks with their payment and financial service needs and 45 years of dedication to our community bank partners. In addition to specializing in providing correspondent banking products and services to community banks we also provide bank holding company loans, commercial loans, leasing, secondary mortgage products, cash letter/cash management, investment trading, safekeeping and portfolio accounting, correspondent credit services, international services, bank card products, and risk management solutions. Bankers' Bank has offices in Madison, WI, Des Moines, IA, Chicago, IL, Indianapolis, IN and Dublin, OH.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 business insights. The role supports Product Owners and Business Leadership to develop innovative data solutions, perform exploratory analysis, and validate business assumptions.Data Analysis (40%)Conduct exploratory data analysis to identify trends, patterns, and segmentation opportunities across customers, products, and marketsTranslate business questions into data-driven analysis and actionable insightsCollaborate with business units to understand project objectives and deliver analytical solutionsAct as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlinesValidate assumptions and support decision-making through dataData Enablement & Accessibility (30%)Support internal stakeholders and users within the organization to access, interpret, and utilize data toolsImprove the accessibility, usability, and consistency of data tools and reporting solutionsDevelop reports, dashboards, and other analytical tools to support business needsSupport training and education efforts to improve data literacy within the organizationLead implementation and adoption of analytical tools and best practicesData Governance & Quality (20%)Establish and maintain data structures, quality standards, and governance practicesIdentify data quality issues and partner with stakeholders to troubleshoot and implement improvementsPromote consistent use of well-managed, reliable data sources across business unitsAdvanced Analytics Support (10%)Contribute to foundation work that supports the expansion of data science and machine learning initiativesAssist in developing analytical approaches and preparing data for more advanced modeling initiativesIdeal candidates will possess a bachelor's degree in data analytics, business, finance, statistics, computer science, or other relation field/ equivalent combination of education and experience sufficient to perform the functions of the job. Two to four years of experience in data analysis, business intelligence, analytics, or a related role. Experience working with data tools, reporting platforms, and dashboards (i.e., Zoho, Tableau, PowerBI, Domo, QuickSight, etc.). Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL). Familiarity with data structures, data governance, and data quality concepts. Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics/business intelligence certiciations (i.e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data+, etc.).