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Weekend Data Analyst Jobs in Michigan (NOW HIRING)

Data Analyst Location: Onsite in NE Grand Rapids Salary: 60,000 Why Work for This Company? This is an opportunity to join a well-established organization that supports multiple business operations ...

The Data Analyst will turn complex operational and packaging data into actionable insights that improve cost, pack density, trailer utilization, sourcing visibility, packaging cost capture, and ...

New

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

The Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and ...

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: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 ...

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and Tableau. * The analyst ...

... for analyzing programs, processes, and procedures to extract, transform, integrate, and load data into data systems (Interface testing, debugging and implementation) Knowledge of data system ...

As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that ...

Supplier Consultant - Automotive Data Analyst Location: Dearborn, MI 48126 (hybrid schedule) Area Code: 313 Pay Rate: $30.00-35.00 per hour Shift: 1st Shift Employment Type: Direct/W2 Belcan is ...

Data Analyst II Location: Jackson, MI (Onsite/ Hybrid) Duration: Long term Rate: Market Duties: · We are seeking a detail-oriented and collaborative Data Analyst to support our Voice of the Customer ...

Zobility is RGBSI's workforce management and staffing division, and they are seeking a Quality Data Analyst to support Technical Service Operations by delivering data-driven insights and scalable ...

The Commercial Analytics team is looking for a Business and Data Analyst to join our team. Your mission is to build and scale trusted data products that power performance measurement across sales ...

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

Help plan training schedule and train new Data Analysts in all aspects of case-finding, case ... Weekend Frequency CURRENT COREWELL HEALTH TEAM MEMBERS - Please apply through Find Jobs from your ...

Help plan training schedule and train new Data Analysts in all aspects of case-finding, case ... Weekend Frequency CURRENT COREWELL HEALTH TEAM MEMBERS - Please apply through Find Jobs from your ...

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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 Jul 26, 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 analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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 on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain 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 highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Data Analyst

Full-time

Posted 10 days ago


Job description

Positon: Data Analyst
Location: Onsite in NE Grand Rapids
Salary: 60,000

Why Work for This Company?

This is an opportunity to join a well-established organization that supports multiple business operations and values the contributions of every employee. The company offers a collaborative environment where team members are encouraged to learn, take on new responsibilities, and grow their careers.

Why professionals enjoy working here:

  • Stable and growing organization with a strong reputation and long-term business success.
  • Opportunity to gain exposure to a variety of business functions and operational processes.
  • Supportive, team-oriented culture that values open communication and employee development.
  • Leadership team that promotes learning and internal growth opportunities.
  • High-visibility role where your work directly impacts the accuracy of reporting and business decision-making.
  • Engaged workplace culture with team events and employee-focused initiatives throughout the year.
Data Analyst Responsibilities

The Data Analyst will be responsible for maintaining critical operational and inventory data while ensuring the accuracy and integrity of company records. This role combines data management, reconciliation, problem-solving, and analytical review.

Key responsibilities include:

  • Enter and maintain transaction, inventory, and operational records with a high level of accuracy.
  • Process purchase, transfer, shipment, and inventory-related data.
  • Reconcile monthly records and expenses, identifying and resolving discrepancies.
  • Support month-end reporting activities through data validation and analysis.
  • Review large data sets to ensure completeness and accuracy.
  • Investigate variances and work independently to determine root causes and corrective actions.
  • Generate and maintain reports for operational tracking and business planning.
  • Communicate with internal stakeholders regarding data discrepancies, reporting needs, and process improvements.
  • Maintain organized documentation and support ongoing process improvement initiatives.
Data Analyst Qualifications
  • 3+ years of experience in data entry, data analysis, accounting support, inventory administration, or a related role.
  • Strong attention to detail and commitment to accuracy.
  • Intermediate Microsoft Excel skills, including:
    • Filtering and sorting data
    • Find and Replace functions
    • Working with multiple file formats
    • Basic formulas and lookup functions
  • Excellent organizational and time-management skills.
  • Strong analytical and problem-solving abilities.
  • Ability to investigate and resolve discrepancies with minimal supervision.
  • Effective written and verbal communication skills.
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