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Caterpillar Inc.

Data Specialist

Caterpillar Inc.

. Analyze customer requirements using conformed models and develop implementable, maintainable solutions .

Posted 11/11/2026full-timeShanghai • ChinaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL and data programming languages, with a strong understanding of agile methodologies and ETL processes. Capable of analyzing large datasets and developing maintainable solutions while ensuring data accuracy and effective information management.

Highest-signal resume keywords
SQL ProficiencyAgile MethodologiesETL ProcessesData AnalysisInformation Architecture

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Programming LanguagesDatabase SystemsData ModelingData Specifications DocumentationData Accuracy Assessment
Soft Skills
CommunicationResearch SkillsProblem-Solving
Tools & Technologies
Information-Management Platforms
Industry Keywords
Value Realization MethodsInformation Management MethodologiesAgile Development LifecycleExtraction Transformation Loading (ETL)Data Relationships

Tech Stack

Tools & technologies
ETLSQL

About the role

Key responsibilities & impact
  • Analyze customer requirements using conformed models and develop implementable, maintainable solutions
  • Assess data accuracy across large datasets in diverse formats
  • Research, design, and document data specifications throughout the production life cycle
  • Employ data analytics to assess technical performance and recommend system enhancements
  • Support value realization activities and project-team communication
  • Apply agile development methodologies and interpret project metrics
  • Research data relationships and participate in establishing database structures
  • Ensure data accuracy for warehouses and load selected data regularly
  • Acquire data from different source systems and resolve ETL technical and administrative problems
  • Implement information processing and operation standards
  • Develop capabilities and features for information-management platforms
  • Advise on information architecture and management improvements
  • Define and review data, process, and event models
  • Explain existing models and associated business processes to clients
  • Prepare reports on findings and issues in data, process, or event models

Requirements

What you’ll need
  • Understanding software development and web technologies
  • Proficiency in SQL and other data programming languages
  • Knowledge of value realization methods
  • Knowledge of agile methodologies and the agile development lifecycle
  • Knowledge of database systems and physical database design
  • Knowledge of extraction, transformation and loading (ETL) processes
  • Knowledge of information architecture and information management methodologies
  • Knowledge of data, process, event, and object modeling
  • Ability to analyze large datasets in diverse formats
  • Ability to research, design, and document data specifications throughout the production life cycle