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

The Data Governance Analyst plays a key role in advancing enterprise data governance initiatives by partnering with data owners, data stewards, and technical teams to deliver high-quality, business ...

Performs complex data analyses and reporting * Designs, develops, and implements complex data reporting and business intelligence systems * Provides guidance to lower level staff in the design ...

... integration Data and integration mapping between two systems Working knowledge of database ... Analysis and creation of all technical requirements: system access, security, mobility, data ...

You will work with various data sources, tools, and technologies to provide insights that support ... Conduct ad-hoc analyses and research to address specific business questions or challenges.

New

Mechanic 3 - Weekend Days

Ripon, WI · On-site

$25.25 - $32.25/hr

Mechanic 3 - Weekend Days | Ripon, WI Full-Time | On-Site | Industrial Maintenance Friday-Sunday ... Collect and analyze machine-operation data * Identify equipment-performance trends and recommend ...

Mechanic 3 - Weekend Days

Ripon, WI · On-site

$25.25 - $32.25/hr

Description Mechanic 3 - Weekend Days | Ripon, WI Full-Time | On-Site | Industrial Maintenance ... analyze machine-operation data Identify equipment-performance trends and recommend actions to ...

Weekend Days Mechanic 3

Ripon, WI · On-site

$35.84 - $37/hr

Collect and analyze data on machine operation to identify trends and recommend actions to reduce machine downtime * Create and manage work orders through a Computerized Maintenance Management System ...

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Weekend Data Analyst information

See Oshkosh, WI salary details

$33.3K

$80.9K

$133.1K

How much do weekend data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for weekend data analyst in Oshkosh, WI is $80,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $94,900.00 per year, depending on experience, location, and employer.

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 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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

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

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

What job categories do people searching Weekend Data Analyst jobs in Oshkosh, WI look for?

The top searched job categories for Weekend Data Analyst jobs in Oshkosh, WI are:

What cities near Oshkosh, WI are hiring for Weekend Data Analyst jobs?

Cities near Oshkosh, WI with the most Weekend Data Analyst job openings:

Full-time

Posted 8 days ago


Faith Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

207th of 451 rated engineering


Job description

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And - as "one of the Healthiest 100 Workplaces in America" - is focused on the mind/body/soul of team members through our Culture of Care
The Data Governance Analyst plays a key role in advancing enterprise data governance initiatives by partnering with data owners, data stewards, and technical teams to deliver high-quality, business-driven solutions. This position supports the implementation and ongoing management of data governance capabilities, including data cataloging, master data management, data quality, and data profiling. The analyst ensures governance initiatives are aligned with business requirements, deliver measurable value, and promote the integrity, consistency, and usability of organizational data
MINIMUM REQUIREMENTS
Education: Bachelor's degree in Business, Information Systems, Data Analytics, or related field; or relevant experience.
Experience: 5+ years of experience in data governance, data management, data analysis or related disciplines
Travel: 10%
Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday. However, work may be performed at any time on any day of the week to meet business needs.
KEY RESPONSIBILITIES
Data Governance
  • Execute enterprise Data Governance policies, standards, and procedures
  • Promote data literacy and foster a data centric culture across the organization
  • Ensure assigned data domains comply with governance standards
  • Advocate change management efforts related to data governance adoption and tool implementation

Data Quality
  • Develop and monitor data quality metrics and KPIs
  • Identify data quality issues and coordinate remediation activities
  • Analyze root causes of data defects
  • Partner will data owners and data stewards to define business validation rules
  • Support continuous improvement initiatives

Metadata Management
  • Maintain business glossary terms
  • Create and maintain business definitions
  • Document data lineage with technical teams
  • Maintain metadata within the enterprise data catalog
  • Ensure metadata remains current and accurate.

Master Data Management (MDM)
  • Define and maintain master data standards
  • Review master data creation and change requests
  • Assist with duplicate record identification and resolution
  • Ensure consistency across systems
  • Participate in MDM implementation initiatives
  • Support survivorship and matching rule definitions

Data Catalog Management
  • Support Data Owners and Data Stewards in business metadata within the data catalog
  • Classify data assets
  • Support catalog adoption throughout the organization
  • Collaborate with technical stewards to improve metadata quality

Business Data Ownership Support
  • Partner with Data Owners and Data Stewards to establish accountability
  • Assist business areas in identifying critical data elements
  • Recommend improvements to business processes affecting data
  • Coordinate business decisions regarding data standards

Business Process Improvement
  • Identify opportunities to improve data collection processes
  • Recommend process enhancements
  • Eliminate redundant data collection
  • Improve data capture at the source
  • Reduce manual work through standardization
  • Performs other related duties as required and assigned.

The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
#LI-Onsite
#LI-Hybrid
How Does FTI Give YOU the Chance to Thrive?
If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future.
Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success.
FTI is a "merit to the core" organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package.
Benefits are the Game-Changer
We provide industry-leading benefits as an investment in the lives of team members and their families. You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today!
Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.
Employment is contingent upon successfully passing a background and drug test

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