Data Analytics & Modeling Co-op — Build Insightful Models

Jobtailor; Fargo (ND); On-site; USD 22,000 - 30,000; Part time

Job summary

Doosan Bobcat in Fargo, ND offers a data analytics co-op program. You will assist in developing, maintaining, and improving data models, provide analysts with accurate information, and collaborate with cross-functional teams to meet business needs.

Ideal candidates are undergraduates pursuing degrees in Business, Engineering, Data Analytics or Computer Science, with strong attention to detail and the ability to multi-task in a fast-paced environment.

Qualifications

• Freshman, Sophomore, Junior, or Senior standing seeking a degree in Business, Engineering, Data Analytics or equivalent
• Attention to detail
• Ability to multi-task and meet deadlines
• Team player, fast learner, and adaptable to change
• Excellent interpersonal and communications skills
• Self-starter who can investigate problems independently with limited guidance
• Commitment to Doosan Bobcat for the entire co-op term (8 months) or internship term (4 months)
• Basic computer skills
• Ability to follow written instructions

Responsibilities

• Assist in developing, maintaining, and improving data models
• Provide analysts with accurate, timely, and actionable information
• Investigate and develop new data models to meet business needs
• Document, refine, validate, and sustain existing data models and processes
• Work with cross-functional teams on projects
• Advocate and share content knowledge with others

Skills

Data Analysis

Data Modeling

Documentation

Process Validation

Business Analysis

Education

Pursuing a degree in Business, Engineering, Data Analytics, CS or equivalent

Tools

Basic Computer Skills

Job description

Doosan Bobcat in Fargo, ND offers a data analytics co-op program. You will assist in developing, maintaining, and improving data models, provide analysts with accurate information, and collaborate with cross-functional teams to meet business needs.

Ideal candidates are undergraduates pursuing degrees in Business, Engineering, Data Analytics or Computer Science, with strong attention to detail and the ability to multi-task in a fast-paced environment.