ZipRecruiter

Log In

1

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

General Motors

Data Analyst

Warren, MI · On-site

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 ...

General Motors

Data Analyst

Warren, MI

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 ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

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

Conclusive Marketing

Data Analyst

Dearborn, MI · On-site

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 ...

OneMagnify

Data Analyst

Dearborn, MI · On-site

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 ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

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

R3 Tek

Data Analyst

Detroit, MI

$45/hr

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 ...

Integrated Resources INC

DATA ANALYST

Detroit, MI

... 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 ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

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 ...

Belcan

Automotive Data Analyst

Dearborn, MI · Hybrid

$30 - $35/hr

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 ...

Zobility

Quality Data Analyst

Auburn Hills, MI · On-site

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 ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

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 ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

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 ...

Spectrum Health

Oncology Data Analyst

Royal Oak, MI · Hybrid

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 ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

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 ...

Masco Corporation

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Join Masco Corporation in Livonia, MI, as a Procurement COE Data Analyst and be a pivotal part of our Procurement Center of Excellence! You'll play a crucial role in improving procurement performance ...

next page

Showing results 1-20

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

Weekend Data Analyst information

See Warren, MI salary details

$31.9K

$77.6K

$127.7K

How much do weekend data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for weekend data analyst in Warren, MI is $77,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 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.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Warren, MI? The most popular types of Data Analyst jobs in Warren, MI are:
What are popular job titles related to Weekend Data Analyst jobs in Warren, MI? For Weekend Data Analyst jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Warren, MI look for? The top searched job categories for Weekend Data Analyst jobs in Warren, MI are:
What cities near Warren, MI are hiring for Weekend Data Analyst jobs? Cities near Warren, MI with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you

Data Analyst

General Motors

Warren, MI • On-site

Full-time

Posted 5 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 304 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,264 frontline employees who took The Breakroom Quiz

Job description

Job Description
The Role
General Motors is seeking a Data Analyst to support the GPSC Logistics & Packaging organization. This role sits in the business side of logistics and containerization, where the team drives packaging strategy, supplier alignment, inbound flow, and system visibility across OE and CCA.
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 overall inbound execution. This position is ideal for someone who can build dashboards, write code, bring together large datasets, and help business partners make better decisions using trusted data.
Project Scope for the Role
  • Establish a reliable data foundation for logistics and packaging by connecting, cleaning, and standardizing data from key enterprise systems, packaging sources, and operational reporting tools.
  • Build scalable reporting and dashboard solutions that give leadership and business partners visibility to packaging plans, container activity, inbound logistics performance, cost drivers, and KPI trends.
  • Develop analysis workflows that identify cost reduction opportunities, pack density improvements, flow disruptions, claims drivers, and process inefficiencies across the logistics and packaging value stream.
  • Support exploratory data analysis and structured root-cause problem solving to improve data quality, clarify business issues, and uncover actionable insights for sourcing, packaging, and logistics teams.
  • Design and support ETL/ELT pipelines and curated datasets that make logistics and packaging data easier to use for recurring reporting, self-service analytics, and future advanced modeling.
  • Partner cross-functionally with Purchasing, PFEP, packaging engineers, container teams, logistics operations, IT, finance, and plant stakeholders to align business questions, source data, and prioritize analytics work.
  • Translate ambiguous operational questions into clearly scoped analytics projects with defined hypotheses, measures of success, timelines, and business recommendations.
  • Enable future-state analytics capabilities, including segmentation, forecasting, and predictive analysis, where they can improve decision making without overcomplicating the core reporting and insight needs of the organization.
  • Drive process discipline and documentation for key data definitions, assumptions, source logic, and reporting standards so outputs are trusted and repeatable.
  • Deliver a roadmap of short-, medium-, and longer-term analytics improvements that strengthen system visibility, reduce manual work, and improve total cost and execution performance across GPSC Logistics & Packaging.

What You'll Do
  • Build and maintain Power BI dashboards, recurring reports, and self-service analytics for logistics, containers, packaging, and related cost or flow performance metrics.
  • Combine and validate data from multiple systems and sources to create a reliable view of packaging plans, container activity, inbound logistics performance, and cost opportunities.
  • Analyze packaging and logistics data to identify trends, root causes, risks, and improvement opportunities tied to cost, density, freight, launch readiness, and plant execution.
  • Support business decisions by translating data into clear recommendations for managers, buyers, packaging teams, logistics partners, and plant stakeholders.
  • Develop reporting and analyses tied to approved packaging plans, PFEP visibility, sourcing alignment, and inbound execution outcomes.
  • Help improve data quality and process discipline by identifying gaps, validating assumptions, and reducing manual interpretation of supplier and packaging inputs.
  • Use tools and data related to OLCT, PFEP, GM 1738 requirements, and other packaging or logistics reference sources to support analysis and reporting.
  • Partner cross-functionally with GPSC Purchasing, PFEP Packaging & Data Management, packaging engineers, container teams, logistics teams, and plants to align data with operational needs.
  • Support special projects involving container flow, expendable packaging, claims, system visibility, KPI development, and total enterprise cost analysis.
  • Drive continuous improvement by automating reporting, simplifying analysis workflows, and enabling faster, data-driven decision making across the organization.

Your Skills & Abilities (Required Qualifications)
  • 5+ years of experience in data analytics, business intelligence, data science, machine learning, supply chain analytics, packaging analytics, logistics analytics, or a similar role. (any internship or co-op experience will not be considered)
  • Strong SQL proficiency and the ability to work across large, complex, and sometimes imperfect datasets.
  • Python proficiency, including experience with libraries and tools used for data analysis and automation.
  • Experience with Power BI or similar visualization tools, including dashboard design and KPI reporting.
  • Experience with Databricks, Spark, and/or other cloud-based data platforms for large-scale data processing.
  • Experience designing and implementing ETL/ELT pipelines that integrate data from multiple transactional and analytical systems.
  • Strong skills in exploratory data analysis to assess data quality, structure, and relationships.
  • Ability to translate ambiguous business questions into analytical and data problems with clear hypotheses, success criteria, and structured recommendations for technical and non-technical stakeholders.
  • Ability to lead large-scale development projects with third-party software and analytics companies, including scoping, coordination, and project management.
  • Strong analytical, problem-solving, and communication skills, with the ability to manage multiple assignments with a high level of autonomy and accountability.

What Will Give You a Competitive Edge (Preferred Qualifications)
  • Bachelor's degree in computer science, engineering, statistics, mathematics, physics, supply chain, information systems, or another related quantitative field; advanced degree preferred.
  • Experience working with packaging, containers, inbound logistics, supply chain operations, automotive, manufacturing, or engineering data.
  • Familiarity with packaging concepts such as returnable, expendable, primary, back-up, bulk, and unitized packaging.
  • Working knowledge of OLCT, PFEP, GM 1738, or other GM packaging and logistics systems or standards.
  • Experience supporting sourcing, should-cost visibility, cost reduction, or operational improvement initiatives.
  • Experience with descriptive or predictive modeling methods such as regression, clustering, segmentation, random forests, or gradient boosting, applied pragmatically to business problems.
  • Exposure to advanced ML/AI techniques is a plus, but the primary focus of this role is strong data analytics, EDA, data engineering, and practical business insight generation.

What Success Looks Like
  • Improved visibility to packaging and logistics performance through trusted dashboards and reporting.
  • Faster identification of cost, flow, density, and execution issues affecting suppliers, plants, and internal teams.
  • Better alignment between packaging plans, sourcing decisions, and inbound execution through stronger data discipline and analytics support.
  • Reduced manual effort and more scalable reporting across logistics and packaging workstreams.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

View All General Motors Jobs

Apply