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

Collabera

Data Analysis

Eagan, MN

Experiencein a Business Analyst or related role involving data analysis StrongExcel skills including charting, Pivot tables, statistical and data cleanupfunctions BasicPowerPoint, Word, Outlook ...

US Bank

Data Product Analyst

Minneapolis, MN · On-site

Work on large-scale data and analytics initiatives involving the integration and analysis of complex, high-volume datasets * Acquire, transform, and manage data from multiple sources to support ...

U.S. Bank

Data Product Analyst

Minneapolis, MN · On-site

Work on large-scale data and analytics initiatives involving the integration and analysis of complex, high-volume datasets * Acquire, transform, and manage data from multiple sources to support ...

Northmarq

Data Business Analyst

Minneapolis, MN · On-site

$65K - $75K/yr

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Bloomington, MN office. This role will lead and coordinate data integrity ...

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

Weekend Data Analyst information

See Hudson, WI salary details

$35.2K

$85.4K

$140.6K

How much do weekend data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for weekend data analyst in Hudson, WI is $85,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 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.
More about Weekend Data Analyst jobs

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

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

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

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

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

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

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Hudson, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,441 per year, or $41.1 per hour.

ERP/Data Analyst

Kanak Elite Services Inc

Minneapolis, MN • On-site

Contractor

Re-posted 8 days ago

Job description

Role: ERP/DATA ANALYST

Location: Minneapolis, MN (Onsite)

need local candidate of MN with DL ..candidate must have maximum experience on Data analyst,ERP, supply chain and domin is manufacturing 

They have added few more points here.

Need a potential candidate who has spent time working in supply chain-based functions we support—purchasing, production planning, demand planning, procurement, or materials management & ideally within industrial manufacturing sector. I think the projects we would target would be less around data architecture & more around enabling the day-to-day process optimization of these functional teams (primarily supply chain & manufacturing operations) with data & analytics.

 

Experience/skillset

·         Deep understanding of ERP systems and ERP data structures

·         Able to drive adoption and be resilient in implementing process & digital transformations

·         Familiarity with SQL—know how to connect various datasets and curate into functional data that can be a foundation for analytics and data visualizations

·         Experience working in procurement, Demand planning, production planning, materials in manufacturing sector

·         Experience developing content in BI platforms, from raw data curated data visualizations

·         Excels in a position where both a.) business processes/day-to-day operations and b.) systems and data fluency are equally important. And being able to “translate” both to appropriate parties

 

Interpersonal skills/capabilities

·         Strong project management skills—breaking down strategy/initiatives into manageable projects then actions

·         Keen eye for data visualization that is presentable and digestible for diverse user base

·         Ability to coordinate & align with cross-functional/adjacent departments

·         Comfortable delegating tasks to various teams and driving project tempo during transformations

·         Collaborative and can-do approach, yet doesn’t hesitate to speak up with concerns

Feel free to reach out to me on anjali08@kanakits.com