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Weekend Data Analyst Jobs in Michigan (NOW HIRING)

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 ...

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 ...

Role: Jr. Data Analyst Location: Jackson, MI (Hybrid) Duration: Long term Rate: Market Responsibilities: Build and maintain SharePoint Online lists and libraries Design and develop interactive ...

Sr Business Data Analyst

Livonia, MI · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

About this opportunity The Mortgage Servicing Data Analyst is responsible for analyzing mortgage servicing data, identifying trends, supporting operational reporting, improving portfolio performance ...

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Showing results 1-20

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 Jun 11, 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 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.
What are the most commonly searched types of Data Analyst jobs in Michigan? The most popular types of Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Weekend Data Analyst jobs? Cities in Michigan with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 61% Full Time, 30% Part Time, 7% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Analytics Engineer/Data Analyst

Analytics Engineer/Data Analyst

DATAMAXIS, Inc

Okemos, MI • On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
DATAMAXIS, Inc is seeking an experienced Analytics Engineer to join their team on a contract basis. The role involves building and maintaining scalable analytics data pipelines, transforming raw data into reliable datasets, and supporting business reporting through dashboards and data models.
Responsibilities:
• Design, build, and maintain scalable data models and analytics pipelines using Snowflake and dbt.
• Develop, optimize, and maintain SQL-based transformations and reporting datasets.
• Support and enhance Tableau dashboards, reports, and data sources.
• Monitor, validate, and improve data quality across analytics workflows.
• Investigate and resolve data pipeline issues, discrepancies, and reporting challenges.
• Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions.
• Create and maintain documentation for data models, business logic, transformations, and validation processes.
• Contribute to best practices for analytics engineering, data governance, and reporting standards.
Qualifications:
Required:
• Strong proficiency in SQL for data transformation, analysis, and reporting.
• Hands-on experience with Snowflake and dbt.
• Experience developing or supporting Tableau dashboards and reporting solutions.
• Strong understanding of data modeling concepts and analytics data architecture.
• Experience with data validation, quality assurance, and troubleshooting data issues.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage deliverables in a contract environment.
Preferred:
• Experience with modern data stack tools and end-to-end analytics workflows.
• Familiarity with ELT/ETL processes and data warehousing best practices.
• Experience working with cross-functional business and technical teams.
• Exposure to cloud-based analytics ecosystems and reporting platforms.
Company:
DATAMAXIS takes pride in delivering a wide range of business IT modernization, data analytics, and technology management services. Founded in 2003, the company is headquartered in Wixom, USA, with a team of 51-200 employees. The company is currently Growth Stage.

DATAMAXIS logo

About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003