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Weekend Data Analyst Jobs in Michigan (NOW HIRING)

Huntington

Data Analyst III

Detroit, MI · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within a business unit. Duties & Responsibilities: Maintains, monitors, updates assigned business process ...

Huntington

Data Analyst III

Detroit, MI · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within a business unit. Duties & Responsibilities: * Maintains, monitors, updates assigned business ...

Rock Connections

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with ...

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

COMPUTECH CV, LLC

R&D Data Analyst

Harrison, MI · On-site

Support enhancement of the hazard analysis with internal and external tools and data systems. * Support automation project by liaising with database developers. * Conduct user acceptance testing.

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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 Sep 7, 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?

The most popular types of Data Analyst jobs in Michigan are:

What are popular job titles related to Weekend Data Analyst jobs in Michigan?

For Weekend Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Michigan look for?

The top searched job categories for Weekend 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:

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 56% Full Time, 11% Temporary, and 33% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Data Analyst - Servicing Operations

RockLoans Marketplace LLC

Detroit, MI • On-site

Full-time

Re-posted 27 days ago

Job description

As a Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with our Senior Data Analyst leadership to support operations, call center, and servicing reporting needs ultimately enabling our team leaders to make data-driven decisions that enhance efficiency and performance. You'll use a range of tools and methodologies, including statistics, technical expertise, and modern data platforms, to generate actionable insights and identify opportunities for continuous improvement. As a storyteller, you'll collect data from various sources to guide strategic decisions and support our transition to advanced analytics platforms.
About the role
  • Identify and communicate patterns in operations and call center data in response to business needs using data manipulation, statistics, and data visualization
  • Create and support business intelligence tools, databases, dashboards, reports, and methods with a focus on operations/servicing metrics and call center activity
  • Use data to support and challenge business solutions with stakeholders, particularly operations and collections teams
  • Identify, document, and use exploratory data analysis to investigate assumptions around operational performance and team efficiency
  • Maintain strong relationships and alignment among operations stakeholders to meet reporting and analytical objectives
  • Define, gather, and validate data requirements; evaluate and ensure data quality standards are met
  • Develop and maintain KPIs and metrics around operational performance, team efficiency, and business health
  • Support the team's transition to Sigma as our primary reporting and visualization platform
  • Stay proactive and strategic-identifying opportunities to improve processes and reporting before being asked
  • Stay informed of industry trends and best practices in operations, call center management, and data analytics

About you
Minimum Qualifications
  • Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, or a related field
  • 3+ years of experience using SQL or other querying languages to create and analyze data sets in a business setting
  • Experience creating KPIs/metrics around operational performance, team efficiency, and business health
  • Experience creating dashboards, reports, and data visualization tools
  • Experience executing end-to-end data analysis projects in a business environment
  • Experience using data to tell stories tailored to different audiences
  • Working knowledge of standard statistical measures, probability theory, and both qualitative and quantitative techniques
  • Conceptual knowledge of software programming fundamentals

Preferred Qualifications
  • Domain expertise in operations/call center reportingand supporting operations teams with collections and call center activity metrics
  • Exceptional communication skills and ability to translate complex data into clear, actionable insights for business leaders
  • Proven track record in data quality managementand establishing data governance practices
  • Strategic, proactive mindset allowing you to identify opportunities and propose solutions rather than waiting for requests
  • Databricks SQLexperience
  • Sigmaexperience for reporting and visualization
  • AI utilization experience and understanding of AI applications for use cases in business analytics
  • AWS experience

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
About us
Headquartered in Detroit, Rocket Loans was established to create the most simple, rocket fast personal loan process. We assembled a top-notch team of individuals combining new, passionate team members with some of the best veterans from Rocket Mortgage to create the most user-friendly lending platform in the world. We have given it our best to create an experience that is best-of-breed in the personal loan industry and commit even more to continuously improving it. At Rocket Loans, you'll build a career that helps you achieve your professional goals while helping clients get the loans they need to reach their financial goals. We're looking for innovators and those unafraid to disrupt the status -quo. With an inclusive culture and opportunities to make a positive impact, we're here to help you foster your career growth.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.

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