1

Weekend Data Jobs in Madison, WI (NOW HIRING)

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 ...

Retail Data Collection Associate - PT

Portage, WI · On-site

$16.25 - $18.50/hr

Equal Opportunity Employer As a retail data collection associate, you would be a part of our ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

Retail Data Collection Associate - PT

Portage, WI · On-site

$16.25 - $18.50/hr

Equal Opportunity Employer As a retail data collection associate, you would be a part of our ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

Retail Data Collection Associate - PT

Portage, WI · On-site

$16.25 - $18.50/hr

Equal Opportunity Employer As a retail data collection associate, you would be a part of our ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

Retail Data Collection Associate - PT

Portage, WI · On-site

$16.25 - $18.50/hr

Equal Opportunity Employer As a retail data collection associate, you would be a part of our ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

Showing results 41-60

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.

Ecommerce Data & Analytics Engineer

Cottage Grove, WI • On-site

Johnson Health Tech Companies
Wholesale • 1 - 5K employees

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

156th of 499 rated machine equipment manufacturers


Job description

Description:

WHO WE ARE

Johnson Health Tech is one of the world’s largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide.


Mission Statement: To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization.


POSITION OVERVIEW

Johnson Fitness & Wellness is seeking an Ecommerce Data & Analytics Engineer to develop and maintain the data infrastructure, reporting systems, and analytics capabilities supporting our ecommerce and omnichannel business. This position is responsible for integrating data across ecommerce, website analytics, CRM, marketing, retail POS, ERP, and operational systems to create a centralized and reliable view of business and customer performance.


The successful candidate will have demonstrated experience building scalable data pipelines and reporting solutions, with the ability to translate complex datasets into actionable business insights. This position will work closely with ecommerce, digital product, marketing, CRM, retail operations, merchandising, and leadership teams to improve visibility into the customer journey, identify growth opportunities, and support data-driven decision making.


RESPONSIBILITIES

Data Engineering & Integration

• Build and maintain scalable data pipelines that connect ecommerce, website analytics, CRM, marketing, POS, ERP, advertising, attribution, and operational systems

• Develop and maintain ETL/ELT processes to automate data ingestion, transformation, normalization, and reporting

• Establish reliable data models, schemas, and reporting standards to improve data consistency and accuracy

• Integrate APIs and third-party data sources into centralized data and reporting environments

• Monitor data pipelines and reporting processes to identify and resolve data quality, reliability, and performance issues

• Maintain documentation for data sources, definitions, integrations, and reporting structures


Reporting & Analytics

• Build and maintain centralized dashboards and reporting systems supporting ecommerce, customer lifecycle, retail showroom, marketing, product, and category performance

• Combine behavioral, transactional, marketing, and operational data to create a more complete view of business performance

• Develop reporting for key ecommerce metrics including traffic, product engagement, add-to-cart activity, checkout behavior, conversion, revenue, average order value, and product performance

• Develop customer and lifecycle reporting incorporating CRM, email engagement, segmentation, attribution, and purchase behavior

• Create reporting that improves visibility into retail and ecommerce performance across digital and physical customer touchpoints

• Identify trends, anomalies, performance gaps, and growth opportunities and communicate findings to business stakeholders


Ecommerce & Customer Journey Analytics

• Analyze the customer journey across website, ecommerce, marketing, CRM, retail, and post-purchase experiences

• Identify friction points and customer drop-off throughout product discovery, add-to-cart, checkout, purchase, delivery, and retention journeys

• Partner with ecommerce and digital product teams to identify conversion rate optimization opportunities

• Provide data and reporting necessary to support UX improvements, merchandising decisions, personalization, and customer experience initiatives

• Support A/B testing and experimentation by establishing measurement requirements, reporting results, and evaluating business impact

• Analyze product, category, and customer behavior to identify opportunities to improve conversion rate, average order value, and ecommerce revenue


Data Strategy & Business Support

• Partner with ecommerce, digital product, marketing, CRM, merchandising, retail operations, and leadership teams to define KPIs and reporting requirements

• Help establish consistent business definitions, attribution methodologies, and performance measurement standards

• Provide data and analysis supporting forecasting, merchandising strategy, inventory optimization, lifecycle marketing, and operational planning

• Support new product, brand, and category launches through performance measurement and customer behavior analysis

• Translate business questions into data requirements, analysis, and actionable recommendations

• Provide accurate and timely information that enables teams and leadership to make faster, data-driven business decisions


Other projects as needed


Requirements:

Education:

Minimum of four-year degree in Computer Science, Data Science, Information Systems, Analytics, Engineering, or related field OR high school diploma/equivalent with equivalent work experience 


Experience:

• Minimum 3+ years experience in data engineering, analytics engineering, business intelligence, or a related data-focused role

• Experience building and maintaining scalable data pipelines and ETL/ELT processes

• Strong SQL experience with the ability to transform, organize, and analyze complex datasets

• Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar platforms

• Proficiency in Python and/or R for data transformation and analysis

• Experience integrating APIs, third-party platforms, and multiple data sources

• Experience with BI and reporting platforms such as Looker, Tableau, Power BI, Sigma, Metabase, or similar tools

• Experience developing data models, schemas, and reporting structures that provide consistent and reliable business reporting

• Understanding of ecommerce analytics, customer journey measurement, conversion funnels, attribution, and lifecycle marketing

• Experience supporting ecommerce, retail, marketing, CRM, or other customer-focused business functions preferred

• Familiarity with customer data platforms, event-based analytics, marketing automation, and A/B testing frameworks preferred


Other Requirements:

• Able to work effectively across cross-functional teams and independently manage data and analytics initiatives

• A quick learner with the ability to translate business requirements and complex data into actionable recommendations

• An ability to work on multiple projects and priorities at the same time

• A valid driver’s license is required for local travel

• Position will be subjected to pre-employment and annual motor vehicle record (MVR) checks.  Must be able to successfully pass MVR checks to drive on behalf of the company.


SKILLS

• Ability to translate business requirements into technical data and reporting requirements

• Strong analytical and problem-solving skills

• Ability to translate complex datasets into clear, actionable business insights

• Strong SQL, data modeling, and data visualization skills

• Ability to collaborate with a wide variety of internal teams and stakeholders

• Strong attention to detail with an emphasis on data quality and reporting accuracy

• Ability to communicate technical information clearly to technical and non-technical audiences

• Ability to multi-task, prioritize, and manage multiple projects

• Ability to identify opportunities to improve processes, reporting efficiency, and business performance

• Strong understanding of ecommerce KPIs and customer journey analytics

• Demonstrated effective interpersonal, verbal, and written communication skills.

• Strong sense of initiative and a sense of urgency, demonstrated by accomplishing tasks, improving current work processes, and assisting others when necessary.

• Unwavering attention to detail and commitment to world-class quality.

• Ability to embrace deadlines.

• Able to project a positive and professional demeanor to all internal and external contacts. 


BENEFITS & PERKS

· Medical, dental, and vision insurance

· Company-paid life insurance and AD&D coverage

· 401(k) retirement savings plan

· Paid time off (PTO)

· FSA and HSA options

· Employee product discounts, wellness resources, and employee assistance programs


Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.


What Johnson Health Tech employees say

Pay

Workplace

Get the full story on Breakroom