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

Shine United

Data Analyst

Madison, WI · On-site

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them. You're comfortable in the numbers, but you don't live there.

Shine United

Data Analyst

Madison, WI

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them. You're comfortable in the numbers, but you don't live there.

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 ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Oregon, WI

Weekend Data Analyst information

See Oregon, WI salary details

$33.4K

$81.1K

$133.5K

How much do weekend data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for weekend data analyst in Oregon, WI is $81,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 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.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Oregon, WI? The most popular types of Data Analyst jobs in Oregon, WI are:
What cities near Oregon, WI are hiring for Weekend Data Analyst jobs? Cities near Oregon, WI with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Oregon, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,136 per year, or $39 per hour.

Data Analyst

Shine United

Madison, WI • On-site

Full-time

Medical, Dental, Life, Retirement

Re-posted yesterday

Job description

POSITION OVERVIEW: You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them.
You're comfortable in the numbers, but you don't live there. You live in the "what does it mean" - the insights that turn performance data into a recommendation clients can actually act on. You're as fluent in measurement frameworks as you are in a strategy conversation, and you know how to make complex analysis feel clear without making it simple.
As a Data Analyst, you'll work within our Media department as a key partner to the Director of Digital Media, Account Service, and creative teams. You'll analyze cross-channel performance data, identify trends and opportunities, guide measurement frameworks, and support the tracking and reporting solutions that give clients a smarter picture of what's working - and why.
If you're an analytical mind with strategic instincts who wants to put them to work somewhere that values both, let's talk.
KEY RESPONSIBILITIES:
Data Analysis, Reporting & Insights
  • Collaborate with media team members to design and maintain automated dashboards (e.g., TapClicks, NinjaCat, Google Data Studio) that clearly communicate performance, insights and opportunities to internal teams and clients.
  • Analyze performance data across paid media channels (search, social, programmatic, etc.), owned channels (email, social, etc.), and web analytics platforms.
  • Develop insights that drive campaign optimization, budget allocation, audience strategy, and creative testing strategy.
  • Identify trends, performance anomalies, and growth opportunities.

Measurement & Tracking Implementation
  • Collaborate with Shine's in-house web development team and client teams to implement and validate tracking solutions (GA4, GTM, media platform pixels, conversion APIs, server-side analytics platforms, etc.).
  • Ensure proper data collection architecture across client websites and landing pages.
  • Troubleshoot data discrepancies and tracking issues.
  • Maintain documentation of measurement frameworks and tagging structures.

Strategic Collaboration
  • Partner with account service to align data insights with client KPIs and business objectives.
  • Support development of test-and-learn agendas, measurement plans, and quarterly business reviews.

QUALIFICATIONS:
Required:
  • 3-5+ years of experience in digital marketing analytics, media analytics, or a similar role (agency experience preferred).
  • Strong proficiency in web analytics platforms (GA4 required).
  • Experience with tag management systems (Google Tag Manager preferred).
  • Experience with data visualization tools (TapClicks preferred).
  • Working knowledge of paid media platforms (Google Ads, Meta, LinkedIn, programmatic DSPs) and corresponding conversion APIs where applicable.
  • Ability to synthesize data into clear, actionable insights for non-technical audiences.
  • Understanding of attribution models and incrementality testing.
  • Experience with server-side analytics platforms.
  • Exposure to marketing mix modeling or advanced analytics frameworks.

Preferred:
  • Experience with SQL and/or Python for data analysis, including implementation of Meridian
  • Familiarity with CRM data integration and customer journey analysis.

COMPENSATION & BENEFITS: Competitive salary based on experience. Benefits package includes: fully paid health, dental, life and disability insurance (for individuals and families), 401k program, paid downtown parking, paid home internet access, and more.
ABOUT SHINE UNITED: Shine United is a $51 million advertising, design and digital agency located in America's Heartland - Madison, Wisconsin. Best known for its innovative brand positioning and creative firepower, Shine has been tapped by brands like Harley-Davidson, Mizuno Running, Discover Card, Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine was named one of the best small agencies in the country by One.A.Magazine, and one of the best places to work in the country by Outside Magazine. Shine's work has been featured in Communication Arts, Print, Graphis, AdAge and The New York Times. Learn more at ShineUnited.com.
#ShineOn
Shine United is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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