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Weekend Data Analyst Jobs in Allendale, MI (NOW HIRING)

Data Analyst Retail & E-Commerce (2-3 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 ...

We are seeking a detail-oriented Accounting Data Analyst to support financial reporting, accounting operations, and business decision-making through data analysis and insights. This role will partner ...

We are seeking a detail-oriented Accounting Data Analyst to support financial reporting, accounting operations, and business decision-making through data analysis and insights. This role will partner ...

Analyzing and resolving product data issues to ensure data integrity, system accuracy, and efficient business processes. * Collaborating with Engineering, Marketing, Sales, Sourcing, Manufacturing ...

New

Product Data Analyst

Grand Rapids, MI · On-site

$75K - $90K/yr

Analyzing and resolving product data issues to ensure data integrity, system accuracy, and efficient business processes. * Collaborating with Engineering, Marketing, Sales, Sourcing, Manufacturing ...

We are looking for a Business Analyst to help turn sales and operational data into clear insights that guide smarter business decisions. This position partners closely with commercial leaders and ...

New

The Data Science & Analytics teams bring together a highly technical skillset, rooted in statistics and machine learning, with strong communication and collaboration capabilities to serve and partner ...

Job Summary The Data Protection Analyst is responsible for monitoring, investigating, and responding to data protection, insider risk, and data exfiltration events across the organization. This role ...

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Weekend Data Analyst information

See Allendale, MI salary details

$29.6K

$72K

$118.6K

How much do weekend data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for weekend data analyst in Allendale, MI is $72,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,600.00 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.

What are the most commonly searched types of Data Analyst jobs in Allendale, MI?

The most popular types of Data Analyst jobs in Allendale, MI are:

What job categories do people searching Weekend Data Analyst jobs in Allendale, MI look for?

The top searched job categories for Weekend Data Analyst jobs in Allendale, MI are:

What cities near Allendale, MI are hiring for Weekend Data Analyst jobs?

Cities near Allendale, MI with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Allendale, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,041 per year, or $34.6 per hour.

Full-time

Posted 9 days ago


Job description

*Applicants must be currently authorized to work in the United States. The company is unable to provide employment-based visa sponsorship for this position, now or in the future.
Position Summary
The Data Analyst will work closely with the key stakeholders from the various departments and work closely with them to validate data accuracy, as well as using the tools developed to provide insight and recommendations based on the analysis conducted. The Data Analyst plays a lead role in driving the culture of data driven decision making and its adoption across the organization.
Primary Responsibilities / Essential Functions
  • Collaborate with employees on the production floor to collect, validate, and interpret operational data, ensuring real-time accuracy and practical usability.

  • Monitor data integrity across systems and facilities, initiating corrective actions and leading initiatives to improve data consistency, accuracy, and harmonization across Oliver's US operations.

  • Facilitate and drive production processes by identifying risks, inefficiencies, and gaps in visibility; develop and implement process improvements to support operational excellence.

  • Support ongoing business data needs by partners with Finance and other operational departments by analyzing material usage, evaluating labor variances, and identifying discrepancies that impact cost, efficiency, or performance.

  • Investigate, document, and model business functions, processes, procedures, systems, information flows, and data structures using appropriate analytical tools and methodologies.

  • Serve as a key liaison between operations, finance, and IT to ensure data solutions align with business objectives and operational realities.

Basic Qualifications
Education:
  • Bachelor's Degree in Business or Finance preferred

Experience:
  • 3+ years' experience working with database applications, reporting and analysis OR Equivalent Combination of the Education and Experience.

Interpersonal Skills:
  • Ability to write in a clear and concise manner, etc.

  • Ability to communicate with business users across the organization.

  • Ability to speak effectively, present information, respond to questions in a clear and concise manner, etc.

  • Must demonstrate attention to detail, be able to work independently or as member of a team.

Technical Skills
  • Strong critical thinking, analytical, and research skills.

  • Experience using Tableau, SAP Analytics Cloud, or similar business intelligence tool.

  • Strong Mathematical foundation.

  • Expert in Microsoft Office; Excel specifically.

  • Deep experience in enterprise and database applications. Report writing know-how is a plus.

Other Skills
  • Proven ability to manage multiple projects at a time while paying strict attention to detail

  • Excellent presentation skills

Working Conditions
  • Prolonged periods of sitting at a desk and working on a computer

  • Must be able to lift up to 10lbs.

Special Requirements
  • Ability to travel (US and internationally)

  • Ability to work evenings and/or weekends