Data Analytics Intern, Design Center of Excellence

Dominion Energy; Richmond (VA); On-site; USD 30,000 - 39,000; Full time

Benefits offered by this job

Health, dental, vision benefits

Tuition reimbursement

401(k) with company match

Paid holidays

Job summary

Dominion Energy is seeking an internship in the Electric Distribution Design Center of Excellence to gain hands-on experience in data analytics, modeling, and data science. The role provides exposure to business performance, finance, systems, operations, and engineering solutions.

You will learn data governance concepts, metadata management, data quality remediation, and how to create interactive visualizations while supporting cross-functional teams on various projects.

Qualifications

• Must have graduation date of Spring 2028 or later.
• Preferred Bachelor's degree: in Computer Science, Data Analytics, Information Systems Technology or related field.
• Must have a 2.5 GPA or greater.
• Must possess a valid driver's license.

Responsibilities

• Support the Electric Distribution Design Center of Excellence with data analytics tasks.
• Gain skills in data analysis, modeling and data science.
• Assist with data governance, metadata, data acquisition, data quality, and interactive data visualizations.
• Collaborate with cross-functional teams to analyze business requirements and develop model strategies.

Skills

Data analytics

Communication skills

Planning & project management

Analytical thinking

Education

Bachelor's degree in CS/Data Analytics or related field

GPA 2.5 or greater

Valid driver's license

Job description

Dominion Energy is seeking an internship in the Electric Distribution Design Center of Excellence to gain hands-on experience in data analytics, modeling, and data science. The role provides exposure to business performance, finance, systems, operations, and engineering solutions.

You will learn data governance concepts, metadata management, data quality remediation, and how to create interactive visualizations while supporting cross-functional teams on various projects.