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

M&K Truck Centers

Business Analyst

Byron Center, MI · On-site

$85K - $105K/yr

Analyze financial and operational data to identify trends and opportunities. * Support system ... upgrades, integrations, and new implementations. * Work closely with accounting teams to align ...

BDO

Power BI Lead Developer

Grand Rapids, MI · On-site

Ability to work after hours and weekends as needed * Excellent organizational and time management skills Keywords: Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API ...

BDO USA

Power BI Lead Developer

Grand Rapids, MI · On-site

Ability to work after hours and weekends as needed * Excellent organizational and time management skills Keywords: Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API ...

CROSSMARK

retail data collector

Holland, MI · On-site

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

CROSSMARK1

retail data collector

Holland, MI · On-site

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

HTC Global Services

Business Analyst

Grand Rapids, MI · On-site

Business Analyst Overview / Summary We are seeking a Business Analyst to gather, analyze, and document business requirements while supporting project delivery and implementation efforts. The role ...

HTC Global Services

Business Analyst

Grand Rapids, MI · On-site

Business Analyst Overview / Summary We are seeking a Business Analyst to gather, analyze, and document business requirements while supporting project delivery and implementation efforts. The role ...

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Showing results 21-40

All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Walker, MI

Weekend Data Analyst information

See Walker, MI salary details

$32.4K

$78.6K

$129.4K

How much do weekend data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for weekend data analyst in Walker, MI is $78,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 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 cities near Walker, MI are hiring for Weekend Data Analyst jobs?

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

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Walker, MI as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $78,649 per year, or $37.8 per hour.

ERP Data Semantics Engineer (QAD/Progress OpenEdge)

NN, Inc - USA

Kentwood, MI • On-site

$90K - $125K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Could this be you?
  • Do you enjoy cracking open ERP schemas to answer “what does this field actually mean?”
  • Do you thrive on turning undocumented structures into reliable models for manufacturing, supply chain, quality, logistics, customer, and supplier reporting?
  • Are QAD and Progress OpenEdge your home turf—and you can read embedded 4GL logic with confidence?
Your mission

Bridge raw ERP data to analytics outcomes. You’ll ensure information is accurately understood, extracted, and made query‑ready for downstream teams building in our data lake, Alteryx, and Power BI.

What you’ll do
  • Map and document tables, fields, relationships, and business logic across QAD, Progress OpenEdge, and adjacent systems.
  • Reverse‑engineer poorly documented schemas and produce clear source‑to‑target mapping specs with transformation logic and business rules.
  • Translate reporting requirements into faithful data models and SQL/4GL query logic.
  • Own a living data dictionary for QAD/OpenEdge (and others as needed), capturing definitions, valid values, and true business meaning.
Integration and delivery
  • Design extractions with the enterprise data lake as the destination, feeding raw and curated layers in OCI Object Storage / Oracle ADB.
  • Build interfaces via database integrations, ODBC, and file‑based transfers.
  • Partner with data lake, Alteryx, and Power BI developers to ensure data is structurally sound, semantically correct, and reporting‑ready.
  • Troubleshoot data quality and mapping issues; implement durable fixes; monitor pipelines for optimization opportunities.
  • Explore on‑premise LLM integration (e.g., connecting ERP/data lake content to locally hosted models) to accelerate mapping, documentation, and query assistance.
Data management and governance
  • Maintain accuracy, consistency, and synchronization across enterprise systems.
  • Establish validation, reconciliation, and exception‑handling processes.
Collaboration and project work
  • Partner with business stakeholders across:
  • Convert business needs into technical mapping solutions.
  • Contribute to planning, estimation, documentation, testing, and deployment.
  • Advise on ERP data structure and integration architecture best practices.
Security and compliance
  • Follow cybersecurity standards for all data handling and integrations.
  • Support compliance for automotive customer expectations and industry standards.
  • Maintain documentation, version control, and change management discipline.
What you bring
  • 5+ years in data integration, ERP systems, or enterprise application development.
  • 3+ years supporting manufacturing organizations.
  • Required: QAD and Progress OpenEdge expertise, including interpreting Progress OpenEdge 4GL data structures and embedded business logic.
  • Evidence of mapping/reverse‑engineering ERP data (e.g., mapping docs, data dictionaries).
  • Strong SQL; ability to reverse‑engineer unfamiliar or undocumented schemas.
  • Comfort reading ERP data dictionaries, table relationships, and legacy logic.
  • Skill in converting business questions into accurate source‑system queries.
  • Experience with:
  • Knowledge of:
Nice to have
  • Experience with SAP S/4HANA, SAP ECC, Oracle ERP, Microsoft Dynamics 365, Infor LN, Plex, or Epicor.
  • Alteryx and/or Power BI familiarity (or other ETL/reporting tools).
  • SOAP services, DevOps, CI/CD, and source control experience.
  • On‑prem/self‑hosted LLM deployment (Ollama, Open WebUI) or integrating internal data with locally hosted AI models.
  • Project management experience or PMP certification.
Education
  • Bachelor's degree in:
  • Equivalent combination of education and experience may be considered.