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

Business Analyst II

Neenah, WI · On-site

$90K - $100K/yr

Create detailed user stories, use cases, process flows, and data models. Collaborate with ... Mentor Business Analyst I roles as needed CORE VALUES & GUIDING PRINCIPLES: Understands internal ...

Business Analyst II

Neenah, WI · On-site +1

$90K - $100K/yr

... flows, and data models. • Collaborate with development teams to ensure requirements are ... Mentor Business Analyst I roles as needed CORE VALUES & GUIDING PRINCIPLES: • Understands ...

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

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Weekend Data Analyst information

See Oneida, WI salary details

$33.1K

$80.5K

$132.4K

How much do weekend data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for weekend data analyst in Oneida, WI is $80,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 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 cities near Oneida, WI are hiring for Weekend Data Analyst jobs?

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

Data Analyst ONSITE - Green Bay, WI

CASH DEPOT LTD

Green Bay, WI • On-site

Full-time

Re-posted 12 days ago


Job description

JOB SUMMARY:

The Data Analyst is responsible for developing reports, data visualizations, and analyses to support business operations. This role ensures accuracy, consistency, and integrity of data outputs in accordance with established data quality standards.

SUPERVISOR RESPONSIBILITIES:

  • None

DUTIES / RESPONSIBILITIES:

  • Extract, clean, and compile data from various internal and external sources.
  • Develop, maintain, and distribute scheduled and ad hoc reports (daily, weekly, monthly).
  • Build and automate dashboards using Tableau and Tableau Prep to support business units.
  • Analyze data trends and patterns to support business initiatives and operational improvements.
  • Collaborate with cross-functional teams to define reporting requirements and deliver insights.
  • Document processes, data sources, and business logic to promote transparency and repeatability.
  • Perform data validation and quality assurance to ensure reporting accuracy.
  • Present findings clearly and concisely to technical and non-technical stakeholders.
  • Performs other related duties as assigned.

REQUIREMENTS: (Education, Experience, Skills, Abilities)

  • High School Degree / GED, Associate Degree preferred.
  • Proficient in Excel, including pivot tables and VLOOKUPs.
  • Experience with Tableau and Tableau Prep for data preparation and visualization.
  • Familiarity with SQL and relational databases is a plus.
  • Understanding of fundamental analytical and problem-solving concepts.
  • Operate within the corporate policy guidelines and business practices.
  • Results oriented and demonstrated strong sense of urgency.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent communication skills, written/verbal with internal and external contacts.
  • Proven ability to be organized, detailed, multi-tasker, critical thinker, accurate, thorough and a problem-solver.
  • Ability to adapt to change in the workplace or assignment of duties.
  • Ability to work independently or in a team.

PHYSICAL REQUIREMENTS:

The physical demands described here are representative of those that must be met by Team Members to successfully perform the essential functions of the job.

While performing the duties of this job, the Team Member is regularly required to talk and hear. Required to frequently sit, stand, walk, use hands to finger, handle or feel, and reach with hands and arms.

The Team Member is occasionally required to lift and/or move 10 pounds, sit; stoop, bend and kneel. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

WORK ENVIRONMENT:

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, copiers, filing cabinets and fax machines, etc.

This is a full-time position. Days and hours or work are Monday through Friday, 8:00 am to 5:00 pm, occasional overtime required.

OTHER DUTIES:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the Team Member for this job. Duties, responsibilities and activities may change at any time with or without notice.