Senior Product Data Steward & Quality Analytics

Caterpillar Inc.; Westminster (CO); On-site; USD 108,000 - 169,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Tuition Reimbursement

Career Development

Incentive bonus

Job summary

Caterpillar Inc. is seeking a Product Data Steward to enhance data quality across Prime and Parts domains, leveraging SQL, Python, and analytics to profile data, score attributes, and model data readiness at scale.

You will design dashboards, apply automated quality rules, and partner with data quality engineering to extend profiling across product domains while communicating findings to technical and non-technical stakeholders. This role emphasizes data governance and scalable data solutions.

Qualifications

• Experience in data quality engineering, data analytics, or related data science discipline.
• Proficiency in SQL and Python for profiling and automation.
• Experience building dashboards with Power BI or Tableau.

Responsibilities

• Build and maintain data quality scorecards for Prime attributes.
• Profile Prime product data with SQL and Python and quantify impact.
• Design dashboards and visualizations for data health trends.
• Apply automated rules to triage data quality exceptions.
• Collaborate to extend profiling across product domains.
• Define content standards for Prime product data.
• Support enrichment and migration validation for Prime.

Skills

SQL

Python

Data profiling

Dashboards

Agile methodologies

Cloud computing

Database design

Statistical modeling

Education

Bachelor's degree

Tools

Power BI

Tableau

Akeneo

Job description

Caterpillar Inc. is seeking a Product Data Steward to enhance data quality across Prime and Parts domains, leveraging SQL, Python, and analytics to profile data, score attributes, and model data readiness at scale.

You will design dashboards, apply automated quality rules, and partner with data quality engineering to extend profiling across product domains while communicating findings to technical and non-technical stakeholders. This role emphasizes data governance and scalable data solutions.