Data Specialist

Caterpillar

Closes in 5 days

Quick summary

Work type
On-site
Location
Peoria, Illinois
Salary
$97,530–$146,290 / yr
Posted
2 days ago
Closes
Jun 9, 2026 (soon)
Nearby
13 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $151k
This role $122k
$87k most similar roles pay here $195k

This role pays less than 87% of similar roles. Most pay $126,800–$176,100 — the shaded band above. At the midpoint, this role pays about $122k versus about $151k 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 20 open roles on FindRole.

Listed pay typically runs $128,470–$186,070 across 20 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Specialist

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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 supplier performance. This role involves using business intelligence, data visualization, statistical analysis, and machine learning to build dashboards, predictive models, and AI tools that drive smarter decision-making across the enterprise. The ideal candidate will have experience in manufacturing, supplier quality, or warranty analytics, with a strong background in Python, R, and other data science tools. They should be adept at managing cloud-based data environments, implementing ETL processes, and working within agile frameworks to deliver scalable solutions. This high-impact role offers the opportunity to shape future AI and automation initiatives while addressing critical business priorities that directly influence financial and operational outcomes.

Skills

Python R BI Data Visualization Machine Learning AI ETL Cloud Computing Database Design GitHub Copilot Kubernetes Docker CI/CD Prometheus Grafana

What you'll do

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

What we're looking for

  • Experience in manufacturing, supplier quality, procurement, or warranty analytics.
  • Ability to develop and apply predictive analytics or machine learning models.
  • Hands-on experience with data science tools like Python or R.
  • Proven track record of creating business intelligence dashboards and visualizations.
  • Knowledge of cloud computing for analytics and AI initiatives.
  • Strong consultative skills to bridge technical analysis and business needs.
  • Experience collaborating across cross-functional teams in a manufacturing environment.

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