Data Specialist

Caterpillar

Closes in 4 days

Quick summary

Work type
On-site
Location
Peoria, IL
Salary
$97,530–$146,290 / yr
Posted
4 days ago
Closes
Jul 2, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $148k
This role $122k
$88k most similar roles pay here $185k

This role pays less than 86% of similar roles. Most pay $126,800–$170,000 — the shaded band above. At the midpoint, this role pays about $122k versus about $148k for comparable roles.

Based on 240 similar postings.

Employer

About Caterpillar

Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing

Caterpillar currently has 46 open roles on FindRole.

Listed pay typically runs $128,470–$208,770 across 45 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Specialist

The Strategic Procurement and Planning Supplier Quality team at a leading manufacturing company is hiring a Data Specialist to transform complex data into actionable insights for quality improvement and risk reduction. This role involves maintaining BI tools, developing predictive models, and creating AI-enabled solutions that drive smarter decision-making across the enterprise. The ideal candidate will work closely with cross-functional teams to address real-world challenges through scalable analytics, supporting initiatives like warranty recovery efforts. Key skills include proficiency in Python or R for data science, experience with cloud computing and ETL processes, and a background in manufacturing or supplier quality analytics. This high-impact position offers the opportunity to shape future AI and automation projects within a dynamic environment focused on measurable business outcomes.

What you'll do

  • Maintain and enhance BI tools and dashboards for supplier quality analytics.
  • Develop scalable data solutions aligned with enterprise models from business requirements.
  • Identify and resolve data quality issues across complex datasets from multiple sources.
  • Build predictive analytics and machine learning models to identify quality risks and trends.
  • Partner with cross-functional teams to translate business problems into statistical approaches.
  • Prepare structured datasets for analytics, visualization, and machine learning through ETL processes.

What we're looking for

  • Experience in manufacturing, supplier quality, procurement, or warranty analytics.
  • Proficient in developing and applying predictive analytics or machine learning models.
  • Hands-on experience with data science tools like Python or R for advanced analytics.
  • Expertise in creating business intelligence dashboards and visualizations.
  • Knowledge of cloud computing and managing scalable solution deployment.
  • Ability to bridge technical analysis with business needs, translating insights into recommendations.
  • Experience collaborating across cross-functional teams including quality, procurement, and engineering.

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