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

Facility Data Analyst

Rochester, MN · On-site +1

$56K - $85K/yr

As a Facility Data Analyst , you will work to support the development and deployment of cutting-edge fault detection and diagnostic services and will have a continual impact on a wide portfolio of ...

New

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and ...

New

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

New

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

New

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

New

Education Application Analyst

Rochester, MN · On-site

$80K - $120K/yr

Performs interface testing to ensure data integrity and flow. Works on and manages projects of a ... Weekend Schedule May require nights/weekend based on business need. International Assignment No ...

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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 Jul 8, 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 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 are Weekend Data Analysts?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 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:
Enrollment Data Analyst

Enrollment Data Analyst

University of Minnesota

Rochester, MN • On-site

$62K - $72K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted 7 days ago


Job description

Brief Overview:
The Enrollment Management Data Analyst collects, cleans, and analyzes student data-recruitment, admissions, financial aid, and retention-to drive strategic decisions. They build dashboards, predict enrollment trends, and maintain data integrity in systems like Slate, facilitating informed decisions for marketing, student success, and fiscal planning.
Visa Language: Please note, this position is not eligible for H-1B or Green Card sponsorship. This position does not offer a STEM OPT training program.
Location and Work environment:
Position is located within the Enrollment Management/Admissions office areas on the Rochester campus. The position is in-person on the Rochester campus, with limited flexibility.
Work Schedule:
Position is Monday through Friday, normal campus office hours. Some weekends and nights will be required for recruitment events or special projects.
Expected Contributions:
The Data Analyst I supports data informed decision making for the Associate Vice Chancellor of Enrollment Management and campus partners including Chancellor, all Vice Chancellors, Registrar, One Stop, Student Life, Coaches, etc. by gathering, analyzing, and reporting on enrollment related data.
This position contributes to the development and maintenance of reporting tools, dashboards, and analyses that inform strategy across enrollment management and the campus.
Primary Responsibilities
  • 40% Data Analysis & Reporting : Perform descriptive and predictive analyses on the student lifecycle, including application, admission, yield, and retention trends.
  • 20% Predictive Modeling & Forecasting: Collaborate with leadership to create enrollment projections and financial aid modeling.
  • 15% CRM/System Administration: Manage, query, and optimize student information systems (e.g., Slate, People Soft, Asana).
  • 15% Data Visualization & Documentation: Develop, maintain, and update interactive dashboards (e.g., Power BI, Tableau) for stakeholders.
  • 5% Data Governance & System Technology:
    • Conduct data audits, ensure compliance with FERPA/GDPR regulations, and maintain accurate records.
    • Work closely and contribute to system-wide technology groups including Slate and People Soft groups.
  • 5% Vendor Relations: Maintain positive working relationships with outside vendors.

Qualifications
Required Qualifications:
  • Education:
    • Bachelor's degree in Data Analytics, Statistics, Information Systems, or a related field with 2 years of experience in data analytics, with higher education enrollment management or admissions data preferred, or Master's degree
  • Proficiency in SQL and advanced Excel; experience with CRM systems (Slate) and visualization tools (Tableau/Power BI).
  • Strong ability to manipulate complex datasets and present findings to non-technical audiences.

Preferred Qualifications:
  • Prior college admission experience
  • Presentation and public speaking skills
  • Strong interpersonal skills
  • Excellent time management and organizational skills
  • Ability and desire to learn and use new software applications

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 in fall 2025. 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.
UMR's 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 University's continued growth.
Pay and Benefits
Pay Range: $62,000 to $72,000 per year; depending on education/qualifications/experience
Time Appointme nt: 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 have the opportunity to complete an online application for the position and attach a cover letter and resume or CV.
This position will remain open until filled. Must submit cover letter and resume.
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), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.