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Weekend Data Analyst Jobs in Minneapolis, MN (NOW HIRING)

Tactile Medical

Data Analyst

New Brighton, MN · On-site

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a ...

Lorven Technologies

Data Analyst

Minneapolis, MN · On-site

Data Analyst Notes: Onsite Interview Required • 6 years of experience in Data Analysis • Strong proficiency in Tableau • Extensive experience in building dashboards using Tableau • Strong ...

Vertical Insure

Data Analyst

Minneapolis, MN · On-site

$75 - $110/hr

Data Analyst Vertical Insure Minneapolis, Minnesota, United States About this position About Vertical Insure Location: Minneapolis, MN (Hybrid - in office Tuesdays and Thursdays) Vertical Insure is ...

Ryan Companies Inc.

Data Analyst

Minneapolis, MN · On-site

$85 - $100/hr

Our Data Analyst will play a crucial role in supporting the data and analytics needs of our Construction teams focusing on scheduling and field operations. In this position, you will be responsible ...

Ryan Companies

Data Analyst

Minneapolis, MN · On-site

$85K - $100K/yr

Our Data Analyst will play a crucial role in supporting the data and analytics needs of our Construction teams focusing on scheduling and field operations. In this position, you will be responsible ...

Collabera

Data Analyst

Eagan, MN

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and ...

Midwest Reliability Organization

Data Analyst

Saint Paul, MN · On-site

$77K - $119K/yr

Role Description The Data Analyst (applicants with varying levels of experience are encouraged to apply, position level and wage will be evaluated and adjusted accordingly) role is a full-time hybrid ...

New

Vertical Insure

Data Analyst

Minneapolis, MN · On-site

$75K - $110K/yr

We're looking for an analytical, detail-oriented Data Analyst to join our growing team. In this role, you'll work closely with cross-functional stakeholders to analyze business performance, build ...

krg technology inc

Data Analyst

Eden Prairie, MN · On-site

... Business Analyst experience including documenting business requirements and functional specifications 5+ years of experience in Data Warehousing - business or data analysis experience in data ...

BCforward

Data Analyst

Golden Valley, MN · On-site

Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE

BCforward

Data Analyst

Golden Valley, MN · On-site

Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE

DivIHN Integration Inc

Data Analyst

Saint Paul, MN · On-site

$27 - $29/hr

Data Analyst Location: St. Paul, MN Duration: 12 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Description : * Analyze quality ...

AG Technologies

Data Analyst

Minneapolis, MN · On-site

... data from Act as the primary resource to educate providers on the required file standards and submission processes Define record layouts and mapping documents to transform provider files to the ...

VIVA USA INC

Data Analyst

Saint Paul, MN · On-site

Analyze quality standards for components, materials or services. Apply measures, sampling methods, testing methodology and other procedures that ensure that quality standards are met. Notes: 8AM ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Minneapolis, MN

Weekend Data Analyst information

See Minneapolis, MN salary details

$35.5K

$86.3K

$142K

How much do weekend data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for weekend data analyst in Minneapolis, MN is $86,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 Minneapolis, MN?

The most popular types of Data Analyst jobs in Minneapolis, MN are:

What are popular job titles related to Weekend Data Analyst jobs in Minneapolis, MN?

For Weekend Data Analyst jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Minneapolis, MN look for?

The top searched job categories for Weekend Data Analyst jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Weekend Data Analyst jobs?

Cities near Minneapolis, MN with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Minneapolis, MN as of August 2026, with employment types broken down into 55% Full Time, 11% Temporary, and 34% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $86,260 per year, or $41.5 per hour.

Data Analyst

Tactile Medical

New Brighton, MN • On-site

Full-time

Re-posted 20 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

Accountabilities & Responsibilities

  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:

  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:

  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:

  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

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