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Weekend Data Jobs in Michigan (NOW HIRING)

Cloud Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... Occasional evening, weekend, and holiday hours are required. All items listed above are ...

Data Analyst Retail & E-Commerce (1 2 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to lead discussions with internal and external customers. * Must be able to take charge and drive results ...

This role focuses on leveraging data from Deltek Vision/Vantagepoint, the Microsoft technology stack, and Power BI to develop predictive models, dashboards, and analytical insights that enhance ...

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

This is a unique opportunity to step into a role where you'll build and shape data infrastructure from the ground up , directly influencing how sales and marketing decisions are made. If you're ...

Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key Responsibilities * Partner with business subject matter experts to gather and document analytical requirements

Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key Responsibilities * Define reporting strategies and requirements through collaboration with GPSC leadership and ...

Job#: 3029487 Data Analyst - Manufacturing & Applied Machine Learning Location: Warren, MI (Hybrid) Employment Type: Contract Role Overview A client in the automotive manufacturing space is seeking a ...

Data Anlayst Location: Detroit,MI Duration: 8+ months Description Primary responsibilities will include working with Business and IT stakeholders in the upgrade of the legal matter management ...

Data Center Technician

Detroit, MI · On-site

$22 - $35/hr

... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without sponsorship Certifications (Preferred) CompTIA Server+ or equivalent hardware certification Data center or ...

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Data Engineer

Lansing, MI

$125K - $155K/yr

Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc. Location: East Lansing, MI (Onsite) Applicants must be authorized to work for ...

Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

The role involves designing, building, and maintaining secure data pipelines and platforms to support various healthcare functions while ensuring compliance with HIPAA and other regulations.

New

Data Engineer

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

Data Engineer

Dearborn, MI · On-site

$105.90K - $127.10K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected ...

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Weekend Data information

See Michigan salary details

$8

$16

$40

How much do weekend data jobs pay per hour?

As of May 30, 2026, the average hourly pay for weekend data in Michigan is $16.99, according to ZipRecruiter salary data. Most workers in this role earn between $11.82 and $17.10 per hour, depending on experience, location, and employer.

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 strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What are the main responsibilities and challenges of working as a Weekend Data Analyst?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What are Weekend Data jobs?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Michigan? The most popular types of Data jobs in Michigan are:
What cities in Michigan are hiring for Weekend Data jobs? Cities in Michigan with the most Weekend Data job openings:

Cloud Data Engineer

AEG

Detroit, MI • On-site

$113.10K - $135.90K/yr

Full-time

Posted 11 days ago


Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.
Key Responsibilities:
  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:
  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:
  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:
  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.
Detroit Tigers is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.
PRIVACY POLICY

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992