Data Analyst

Warren, MI, US • Posted 21 hours ago • Updated 9 hours ago
Full Time
On-site
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Fitment

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Job Details

Skills

  • Marketing Intelligence
  • MI
  • Automotive Manufacturing
  • Decision-making
  • Dashboard
  • Regression Analysis
  • Clustering
  • Analytical Skill
  • Data Validation
  • Mechanical Engineering
  • Industrial Engineering
  • Statistics
  • Python
  • SQL
  • Pandas
  • NumPy
  • Data Analysis
  • Manufacturing
  • Machine Learning (ML)
  • Evaluation
  • IT Service Management
  • Innovation
  • Collaboration
  • Recruiting
  • Insurance
  • Finance
  • Professional Development
  • Training
  • Leadership
  • CompTIA
  • Customer Service
  • Career Counseling
  • Oracle Application Express
  • Apex

Summary

Job#: 3029487

Job Description:
Data Analyst - Manufacturing & Applied Machine Learning

Location: Warren, MI (Hybrid)
Employment Type: Contract

Role Overview

A client in the automotive manufacturing space is seeking a Data Analyst. This role requires a foundation in statistics and numerical data analysis, with exposure to machine learning. The position supports data-driven decision-making for manufacturing and engineering applications, with an emphasis on structured, numerical data. This is a suitable role for an individual with a manufacturing, mechanical, or industrial engineering background who has moved into data analytics and applied machine learning.

Key Responsibilities
  • Analyze large-scale numerical and structured manufacturing data to identify trends, anomalies, and performance drivers.
  • Build dashboards, reports, and analytical models to support operational and engineering teams.
  • Apply foundational machine learning techniques such as regression, classification, and clustering to manufacturing-related datasets.
  • Partner with engineering and manufacturing stakeholders to translate business problems into analytical solutions.
  • Support data validation, quality checks, and statistical analysis for operational datasets.
  • Present findings to both technical and non-technical audiences.
Required Qualifications

Education: A Master's or PhD in Mechanical Engineering, Industrial Engineering, or a related manufacturing-focused discipline is required.

Experience: A minimum of one to three years of experience in data analysis with exposure to machine learning is necessary. This includes at least one year of experience working with statistics and numerical datasets, along with a background in manufacturing or industrial data.

Technical Skills: Proficiency with Python, SQL, and common data analysis libraries such as Pandas and NumPy is required.

Preferred Qualifications
  • Prior experience applying data analytics within an automotive or manufacturing environment.
  • Familiarity with basic machine learning model development and evaluation.
  • Experience communicating insights to engineering teams.

We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Apex uses a virtual recruiter as part of the application process. Click for more details.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: apexsan
  • Position Id: BHJOB2374_3029487
  • Posted 21 hours ago

Company Info

About Apex Systems

Part of the Commercial Segment of ASGN Incorporated, Apex Systems is a leading global technology services company specializing in customizable industry-specific solutions that drive better results and transform businesses for over 25 years.

Delivering Value and Innovation

Apex Systems partners with global and Fortune 500 companies, leveraging cutting-edge technology through strategic alliances to drive businesses forward. These proven solutions and services combined with our unique deployment model that builds qualified, industry specific, fit-for-purpose teams fulfills our clients’ digital visions and achieves results. Our agility and obsession with providing value enables us to support an ever-evolving digital world.

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