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Weekend Data Analyst Jobs in Minnesota (NOW HIRING)

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ecosystem and for leading the migration from legacy platforms to Microsoft Fabric and Power BI. This ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ecosystem and for leading the migration from legacy platforms to Microsoft Fabric and Power BI. This ...

Mortenson

Data Analyst - Finance

Minneapolis, MN · On-site

$72K - $109K/yr

Mortenson is currently seeking a Data Analyst - Finance who will be responsible for supporting Finance reporting and analytics by building and maintaining Power BI reporting solutions and data ...

Collabera

Business Data Analyst

Eagan, MN · On-site

Verify source data to be used truly supports requirements * Assist in analyzing business needs against existing data structures/strategy * Develop a strong working relationship with internal business ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

A DAY IN THE LIFE The Principal Data Analyst is a senior individual contributor on the IT Data, Analytics & Integrations team who drives enterprise-wide data-informed decision-making. This role ...

New

THOMSON REUTERS

Customer Data Analyst

Eagan, MN · Hybrid

QA & Data Quality * Apply consistent quality checks to all audience outputs - validating segment logic, sizing, overlap, consent basis, and channel compatibility - before any activation is triggered.

Mayo Clinic

Data Science Analyst

Rochester, MN

$102K - $143K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Weekend Schedule Not Applicable International Assignment No Site Description Just as our reputation ...

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Weekend Data Analyst information

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 Minnesota? The most popular types of Data Analyst jobs in Minnesota are:
What are popular job titles related to Weekend Data Analyst jobs in Minnesota? For Weekend Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Minnesota look for? The top searched job categories for Weekend Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Weekend Data Analyst jobs? Cities in Minnesota with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Minnesota 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.

Senior Data Analyst

Royal Bank of Canada

Minneapolis, MN • On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Job Description
What is the opportunity?
As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate complex data into actionable insights. This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in making critical decisions for their business.
If you have excellent communication, innovative thinking, attention to detail, and are looking for the next step in your career, we want to hear from you!
What will you do?
  • Engage and build relationships with banking and lending partners on major projects or initiatives, ensuring clear expectations on deliverables and timelines, understanding business priorities, and consulting on comprehensive analytics solutions and success criteria.
  • Collaborate with business partners to define and interpret business needs, design and document business requirements, apply best practices to negotiate deliverables, execute the requirements and perform required quality control processes to ensure highest quality.
  • Provide end-to-end analytics support, oversight and guidance for analytical initiatives including best practice design principles, approach recommendations, proper governance approaches and effective presentation methodologies in a fast-paced and rapidly changing environment.
  • Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling visualizations.
  • Continually look for new ways to develop tools and information that help the business to measure and improve its processes and drive value for RBC clients and shareholders.
  • Analyze structured and unstructured datasets to solve complex business problems and tailor solutions that are scalable, verifiable and best fit the user's requirements.
  • Thorough design and development iteration, agile and documentation, review mission goals and ensure that final reporting and analytical solutions match client needs
  • Ensure adherence to governance, compliance, and data quality standards

What do you need to succeed?
Must-have
  • Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field
  • Five or more years of professional experience in data engineering, analytics and reporting, or related role
  • Hands-on experience managing and analyzing data in financial services (e.g. financial services KPIs, UHNW analytics, marketing, fixed income, advisory etc.)
  • Strong analysis skills, primarily investigating and explaining trends and variances using statistical techniques.
  • Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python, SQL, SAS and ETC).
  • Ability to prioritize and execute on multiple tasks as well as adjust to changing priorities and work effectively in a collaborative team environment.
  • Proven ability to present and communicate complex, technical materials in a way that facilitates decision making and drives outcomes to non-technical partners.

Nice-to-have
  • A self-starter with high energy and a driven curiosity to go beyond the obvious and provide ideas for innovation.
  • Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services.
  • Experience building and using AI/ML models, predictive analytics or statistical modeling to solve business problems.
  • Hands-on experience with Tableau, Power BI, Snowflake, Alteryx or similar tools.

What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business

For Minnesota the good-faith expected salary range for the above position is $70,000 - $130,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.
RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
• Drives RBC's high performance culture
• Enables collective achievement of our strategic goals
• Generates sustainable shareholder returns and above market shareholder value
#LI-POST
Job Skills
Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents
Additional Job Details
Address:
250 NICOLLET MALL:MINNEAPOLIS
City:
Minneapolis
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
WEALTH MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-05-22
Application Deadline:
2026-08-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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