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

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This ...

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This ...

Data Analyst II

Waukesha, WI · On-site

$21.60/hr

Data Analyst II Waukesha, WI, USA, 53188 $21.60/hr on w2 12/12/2016 to 06/16/2017 Global Services role supporting data analysis on trapped parts within the GEHC network. The primary goal of this will ...

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

Develop data models and dashboards * Support forecasting and financial planning * Assist in ... Key Responsibilities 1) Data & Analytics * Develop and maintain dashboards and reports across ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Cross-Sell Data Analyst The cross-sell data analyst is responsible for identifying cross-sell opportunities within the producer's book across all business lines for the region by analyzing both ...

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Weekend Data Analyst information

See Watertown, WI salary details

$32.4K

$78.8K

$129.7K

How much do weekend data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekend data analyst in Watertown, WI is $78,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $92,500.00 per year, depending on experience, location, and employer.

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.

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 are the most commonly searched types of Data Analyst jobs in Watertown, WI? The most popular types of Data Analyst jobs in Watertown, WI are:
What job categories do people searching Weekend Data Analyst jobs in Watertown, WI look for? The top searched job categories for Weekend Data Analyst jobs in Watertown, WI are:
What cities near Watertown, WI are hiring for Weekend Data Analyst jobs? Cities near Watertown, WI with the most Weekend Data Analyst job openings:

Data Analyst

Rogers Behavioral Health

Oconomowoc, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago


Rogers Behavioral Health rating

6.0

Company rating: 6.0 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

749th of 887 rated healthcare providers


Job description

Summary:
The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics.
Job Duties & Responsibilities:
Data Gathering and Reporting:
  • Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets
  • Participate in data management tasks by querying and merging datasets.
  • Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others.

Data Extraction and Utilization:
  • Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process.
  • Support team with data extraction and utilization efforts.
  • Assist with contextualizing data and data flow automation.

Collaboration and Learning:
  • Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making.
  • Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven.

Data Analysis Support:
  • Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis.
  • Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods.

Effective Communication:
  • Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system.

Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills.
  • Be open to change and actively support change.
  • Be open to others' ideas and points of view.
  • Evaluate employees objectively and provide employees with periodic feedback.

Promote department goals as well as the mission of the hospital.
  • Communicate goals to fellow staff members.
  • Maintain department policies and procedures.
  • Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin).
  • Maintain and/or communicate to appropriate party function backlog at a set time.
  • Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed.
  • Demonstrate acceptance and training of student interns in the department, as directed.

Participate in hospital committees, performance improvement team meetings, and team projects, as directed.
  • Demonstrate punctuality and preparedness.
  • Demonstrate effective communication skills.
  • Demonstrate good organizational skills.
  • Contribute in a positive, solution-focused manner.

Conduct self in a professional manner.
  • Demonstrate organizational skills that promote timely response to all inquiries and to task completion.
  • Communicate with all individuals in a positive and professional manner.
  • Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution.
  • Communicate concerns and provide solutions for same.
  • Project a professional image by wearing appropriate, professional attire.
  • Ability to influence departments within Rogers and provide technical guidance.

Additional Job Description:
Requirements/Qualifications
  • Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.).
  • 1-3 years of experience in a data analysis-related role
  • Strong interest in data analysis and a willingness to learn and grow in the field.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.).
  • Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.).
  • Experience querying data using SQL scripting.
  • Experience with Microsoft Fabric is highly preferrred.
  • A desire to build foundational knowledge in advanced analytic/statistical methods.
  • Exceptional written and verbal communication skills.
  • A meticulous and detail-oriented approach.

With a career at Rogers, you can look forward to a Total Rewards package of benefits, including:
  • Health, dental, and vision insurance coverage for you and your family
  • 401(k) retirement plan
  • Employee share program
  • Life/disability insurance
  • Flex spending accounts
  • Tuition reimbursement
  • Health and wellness program
  • Employee assistance program (EAP)

Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health. To link to the Machine-Readable Files, please visit Transparency in Coverage (uhc.com)

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