Data Analytics Specialist—Cloud & ETL Expert

Caterpillar Inc.; Peoria (IL); On-site; USD 98,000 - 146,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Tuition Reimbursement

Career Development

Incentive bonus

Parental leave

Adoption benefits

Life Insurance

Job summary

Caterpillar Inc. invites applicants to join the STU team of Cat Digital to use data analytics to assess organizational performance and recommend system enhancements.

Candidates should be proficient in SQL and data programming, with knowledge of cloud computing and data architecture, ready to work in a dynamic, global tech environment.

This role emphasizes collaboration, modern data platforms, and delivering insights that improve outcomes across the business.

Qualifications

• Experience analyzing data to drive business outcomes.
• Strong SQL and data programming skills.
• Knowledge of agile methodologies and lifecycle.
• Familiarity with cloud computing platforms and data architectures.
• Experience designing data models for analytics.
• Hands-on ETL development experience.
• Understanding of data governance and metadata management.
• Ability to create clear data models for business use cases.

Responsibilities

• Analyzing customer requirements based on conformed models and catering solutions that are implementable and maintainable.
• Discerning data accuracies in large sets of data of diverse formats.
• Researching, designing, and documenting data specifications at all points in the production life cycle.
• Understanding software development and web technologies and having proficiency in SQL and other data programming languages.

Skills

Data analytics

SQL

Data programming

Agile development

Cloud computing

Data modeling

ETL processes

Information management

Tools

AWS Cloud Services

Snowflake

Alteryx

Job description

Caterpillar Inc. invites applicants to join the STU team of Cat Digital to use data analytics to assess organizational performance and recommend system enhancements.

Candidates should be proficient in SQL and data programming, with knowledge of cloud computing and data architecture, ready to work in a dynamic, global tech environment.

This role emphasizes collaboration, modern data platforms, and delivering insights that improve outcomes across the business.