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Weekend Data Analyst Jobs in Minnesota (NOW HIRING)

Cloud Data Vision LLC

Data Analyst

Minneapolis, MN · On-site

SQL Data Analyst Location: Minneapolis, MN - Locals Duration: Contract to Hire Experience: 10+ Primary Responsibilities · Write and optimize SQL queries to extract, transform, and analyze large ...

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 ...

Ryan Companies

Data Analyst

Minneapolis, MN

$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 ...

Aon Corporation

Data Analyst

Bloomington, MN · On-site

$93K - $120K/yr

Data Analyst - Aon Affinity Do you enjoy turning complex data into clear, actionable insights for the business? Are you excited by the challenge of solving real-world problems on a global scale? Join ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis central to the management and development of Gravie's innovative healthcare solutions, including our ...

Gravie

Data Analyst

Minneapolis, MN · On-site

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis central to the management and development of Gravie's innovative healthcare solutions, including our ...

krg technology inc

Data Analyst

Eden Prairie, MN

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

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis central to the management and development of Gravie's innovative healthcare solutions, including our ...

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

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

THOMSON REUTERS

Data Analyst, Government

Eagan, MN · Hybrid

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and inform strategic decisions in the Government sales channel? We're looking for a talented Data Analyst ...

AG Technologies

Data Analyst

Minneapolis, MN

... 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 ...

Thomson Reuters

Data Analyst, Government

Eagan, MN · On-site

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and inform strategic decisions in the Government sales channel? We're looking for a talented Data Analyst ...

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Administration/Senior Data Analyst Date Posted: 5/27/2026 Location: Administrative Services Center Date Available: 07/01/2026 Senior Data Analyst Eden Prairie School District is seeking a highly ...

Techvilla Solutions

Senior Data Analyst

Minnetonka, MN

$87K - $110K/yr

We are seeking a highly experienced Senior Data Analyst with strong expertise in healthcare data, clinical data warehousing, and quality measures. The ideal candidate will combine strong analytical ...

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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 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 visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently 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 valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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
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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

Data Analyst

Cloud Data Vision LLC

Minneapolis, MN • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description

Title: SQL Data Analyst
Location: Minneapolis, MN - Locals
Duration: Contract to Hire
Experience: 10+

 Primary Responsibilities

·        Write and optimize SQL queries to extract, transform, and analyze large datasets

·        Develop and maintain databases and data pipelines

·        Create reports and dashboards to visualize data insights

·        Identify data quality issues and implement solutions

·        Collaborate with stakeholders to understand business requirements

·        Document data structures, processes, and analysis methodologies

·        Support ad-hoc analysis requests from business teams

·        Ensure compliance with data security and regulatory standards

 Required Skills

·        Proficiency in SQL (complex queries, joins, aggregations, window functions)

·        Experience with relational databases (SQL Server, MySQL)

·        Design, optimize, and maintain database schemas, indexes, and query performance

·        Strong analytical and problem-solving abilities

·        Troubleshoot data issues and provide technical support to business users

·        Attention to detail and data accuracy

 

 Preferred Skills

·        Python or R programming

·        ETL tools (SSIS, Informatica)

·        Cloud platforms (AWS, Azure, Google Cloud Platform)

·        Business intelligence tools

·        Version control (Git)

·        SQL Server certifications

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