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Weekend Data Analyst Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Jr. IT Data Analyst

Warren, MI · On-site

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required Qualifications: * Experience working with big data in a cloud environment , particularly Azure and Databricks

USM

Data Analyst-----Need GC and USC

Southfield, MI

Data Analyst Southfield, MI 6+ Months Need GC and USC we're looking for candidates with 3-5+ years of experience. Top 3 skills: Experience writing complex SQL queries Data warehousing concepts Health ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Michigan

Weekend Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do weekend data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for weekend data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 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 Michigan?

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What cities in Michigan are hiring for Weekend Data Analyst jobs?

Cities in Michigan with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Analytics Engineer/Data Analyst - Michigan

RICEFW Technologies, Inc.

Okemos, MI • On-site

Contractor

Re-posted 14 days ago

Job description

4 days a week onsite in Okemos, MI
Summary:
We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and Tableau. The analyst will work across the full data lifecycle-from transforming raw data into analytics-ready datasets to enabling business insights through Tableau. This role requires hands-on experience with modern data stack tools and the ability to convert complex business requirements into structured, reliable data models.
Success in this position requires strong SQL skills, experience with dbt-based data modeling, and the ability to work within Snowflake-based environments. The individual should be comfortable supporting end-to-end data workflows, including pipeline development, validation, and Tableau integration. Success also requires strong analytical thinking, attention to data quality, and the ability to bridge business and technical perspectives. The individual will also provide documentation, support validation of outputs, and contribute to adoption of scalable data solutions across the organization.

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