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

Research Technologist

Rochester, MN · On-site

$27.99 - $41.98/hr

Performs basic statistical data analysis; prepares tables/charts/graphs and assists in organizing ... Weekend Schedule Occasional weekends International Assignment No Site Description Just as our ...

Research Technologist

Rochester, MN · On-site

$27.99 - $41.98/hr

Performs basic statistical data analysis; prepares tables/charts/graphs and assists in organizing ... This position has a 2-year commitment period before transfer eligibility) Weekend Schedule Possible ...

Sleep Technologist

Rochester, MN · On-site

$30 - $40/hr

... · Data Analysis: Score clinical events and tabulate data for physician review. · Compliance ... Schedule · Full-time, primarily weekends, 8:00 PM-6:00 AM Job Type: Full-time Benefits: 401(k) ...

Retail Data Collection Associate - PT

Rochester, MN · On-site

$15.50 - $17.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

Retail Data Collection Associate - PT

Rochester, MN · On-site

$15.50 - $17.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

HR Advisor

Rochester, MN · Hybrid

$88K - $123K/yr

They contribute to operational decisions by analyzing workforce trends and data, and engaging ... Weekend Schedule As Needed. International Assignment No Site Description Just as our reputation has ...

Safety Coordinator

Rochester, MN · On-site

$108K - $162K/yr

Able to analyze and interpret data and participates in decisions regarding data validity and ... Weekend Schedule As needed International Assignment No Site Description Just as our reputation has ...

Advanced Imaging Specialist (AIS)

Rochester, MN · On-site

$35.45 - $53.15/hr

... analyzing medical imaging data in compliance with privacy and security regulations (e.g., HIPAA ... Weekend Schedule 2-3 weekends a year. International Assignment No Site Description Just as our ...

Showing results 21-40

Weekend Data Analyst information

See Rochester, MN salary details

$34.6K

$84K

$138.2K

How much do weekend data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for weekend data analyst in Rochester, MN is $84,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 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 Rochester, MN?

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

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

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

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

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

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

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

Assoc Dir of Institutional Research

Rochester, MN • On-site

University of Minnesota
Education • 10K+ employees

Full-time

Medical, Dental, Life, Retirement

Re-posted 4 hours ago


Job description

About the Job
 

Brief Overview: The Associate Director of Institutional Research and Strategic Analysis provides operational leadership, strategic oversight, and advanced analytical expertise to support the Universitys values, mission, and objectives in decision making. Operating with a high degree of autonomy, the Associate Director manages the project schedules, coordinates cross-functional campus collaborations, and reports on the progress toward strategic initiatives.
Location and Work environment: This is an in-person position on the UMR campus with limited flexibility for remote work upon approval by the supervisor.
Work Schedule: Full time, 40 hours per week, 12 months per year. Monday through Friday, typical daytime hours. Some evenings and weekends are required to meet the needs of the students. Occasional on and off-campus travel required.
Expected Contributions: This role acts as a primary bridge between raw institutional data and executive decision-making, overseeing key deliverablesincluding complex internal data analyses, predictive modeling, external compliance reporting, and ad hoc data requests. 

Please note, this position is not eligible for H-1B or Green Card sponsorship. This position does not offer a STEM OPT training program.
Primary Responsibilities

  • Institutional Assessment and Advanced Analytics (40%)
    • Conduct in-depth, complex statistical analyses and diagnostic analytics to support leadership decision-making, institutional planning, and strategic priorities.
    • Analyze student progression and success outcomes to identify opportunities to improve retention, persistence, and degree completion while closing equity gaps among student groups
    • Build, maintain, and refine advanced predictive models to drive early interventions and boost student retention and graduation outcomes.Design, develop, and implement KPI dashboards and performance metrics to track progress toward institutional and unit strategic goals
       
  • Project Management & Operations (25%)
    • Manage a comprehensive project schedule to ensure all recurring, ad hoc, and sudden data requests are executed accurately, efficiently, and on schedule.
    • Ensure and document standardized business processes, data dictionaries, and workflows to ensure business continuity and analyst cross-training.
    • Represent UMR on the appropriate system-wide committees, campus task forces, and workgroups; serve as an institutional liaison to system colleagues.
       
  • External Compliance Reporting & Survey Administration (20%)
    • Manage and submit mandatory institutional data to federal, state, and accreditation bodies, ensuring absolute compliance with data governance policies and FERPA.
    • Act as the primary campus contact for external organizations and publishers (e.g., U.S. News & World Report, College Board, Peterson's, ACT, Wintergreen Orchard House) to accurately submit institutional data profiles.
    • Lead the compiling, verification, and publication of annual reporting resources, including the Common Data Set, Campus Data Book, and the All Student Profile.
    • Oversee the administration and downstream analysis of major campus-wide surveys, such as the National Survey of Student Engagement (NSSE) and the Student Satisfaction Inventory (SSI).
       
  • Data Extraction, Engineering & Business Intelligence (15%)
    • Design, write, and optimize complex SQL queries to extract multi-dimensional datasets from the University Data Warehouse, PeopleSoft, Slate, Canvas, and related transactional systems.
    • Clean, blend, and restructure large, unstructured, or disparate datasets using tools like SQL Developer, R, SPSS, Python, or Excel.
    • Design, publish, and maintain interactive business intelligence dashboards utilizing Tableau to democratize data access and display complex dimensional metrics clearly.
    • Translate complex statistical findings and research methodologies into clear, accessible, and actionable narrative briefs or presentations for non-technical stakeholders across the campus.
Qualifications
 

Required Qualifications: 

  • Bachelors degree in Data Analytics, Statistics, Mathematics, Computer Science, Social Sciences, or a highly quantitative plus at least six years of relevant institutional research experience in higher education
  • Minimum of 5 years of progressive professional experience in data analysis, institutional research, or business intelligence within a higher education setting.

Preferred Qualifications

  • 8+ years of relevant institutional research experience in higher education, with at least 2 years of direct supervisory or team lead experience.
  • Experience working directly with enterprise higher education platforms, including PeopleSoft, Slate, Canvas, and OBIEE.
  • Advanced technical skills, including but not limited to: 
  • Advanced SQL writing capabilities and experience with relational database extraction.
  • Proficiency in statistical programming languages (e.g., R, SPSS, Python, or STATA).
  • Demonstrated expertise in data visualization tools (specifically Tableau or Power BI).
  • Strong working knowledge of data governance, data privacy policies (FERPA), and federal/state higher education reporting standards.
  • Proven track record of developing functional predictive models, and complex data-mining protocols.
  • Demonstrated ability to consult with senior campus executives, influence strategic policy changes through data insights, and foster collaborative environments that advance equity, diversity, and social justice.
  • Encountered situations are highly varied, complex, and frequently non-recurring. There are rarely pre-established routines for advanced analyses (such as equity gap or retention studies). The Associate Director must apply creative analytical methodologies, identify confounding variables, and design unique visual solutions to make complex data sets interpretable.
  • Operates with a high degree of independence under broad guidance from the Vice Chancellor for Academic Affairs & Innovation.
About the Department
 

The University of Minnesota Rochester (UMR), located in downtown Rochester, serves nearly 1,200 students and recently welcomed its largest class ever. Faculty and staff are dedicated to innovative education, student development and applying research to enhance learning every day. With a strong focus on health sciences and student-centered learning, UMR partners closely with Mayo Clinic and emphasizes research-driven teaching to meet the evolving demands of the health care industry.

UMRs Vision is to inspire transformation in higher education through innovations that empower our graduates to solve the grand health challenges of the 21st century. The campus facilities are adjacent to the world-class Mayo Clinic and other industry leaders in the life sciences in downtown Rochester, Minnesota. Rochester is the fastest growing city in Minnesota, currently experiencing exponential growth with facilities expansion and the Universitys continued growth.

Pay and Benefits
 

Pay Range: $98,000 to $115,000 annually; depending on education/qualifications/experience

Time Appointment: 100% Appointment

Position Type: Faculty and P&A Staff 

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services 
  • Employee Assistance Program with eight sessions of counseling at no cost

While our salary ranges provide a framework, it is important to note that most of the
time, the initial pay may not reach the maximum of the range. This approach ensures
that compensation reflects the value and unique contributions of each candidate while
maintaining equity within our organization. As part of our commitment to fair and
equitable compensation, please be aware that the salary offered to incoming candidates
will be based on their individual credentials and experience.

How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota Rochester (UMR)

At the University of Minnesota Rochester, our vision is to transform higher education through innovations that empower graduates to solve the grand health challenges of the twenty-first century. UMR prepares students for a broad spectrum of career pathways including pre-med and patient care; psychology and mental health; business and leadership; health technology; public policy and global health; and research, discovery, and cures.

The campus community serves almost 1,000 undergraduate and graduate students in the heart of downtown Rochester and continues to grow in size and influence through creative partnerships. At UMR, relationships and research drive student success. Learn more about UMR.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.