INTERN-GRID -Enterprise Advanced Analytics
About The Position
The intern will be fully dedicated to supporting the Executive Learning & Efficiency Program, working closely with team members to help senior leaders understand and adopt emerging AI and digital productivity tools. This role focuses on creating executive‑facing learning materials, translating advanced analytics and AI concepts into clear, non‑technical language, and identifying practical opportunities for executives to work more efficiently through modern digital workflows. In addition to content development, the intern will gain hands‑on exposure to advanced analytics tools and initiatives across the Enterprise Advanced Analytics team. This may include contributing to projects involving predictive modeling, BI enablement, AI prompt engineering, and AMI use case development—providing the technical context needed to effectively communicate these capabilities to executive audiences.
Requirements
- Enrolled as a full-time student in a recognized college or university, majoring in Business, Engineering, Analytics, Mathematics, Statistics, or Data Science OR in non-related fields with a demonstrated interest in and proficiency with data.
- Enrolled as a Full-Time Student (Undergraduate – 12 hours, Graduate – 9 hours) and have completed at least two (2) semesters at an accredited college, or university in the United State.
- Must be classified as a Sophomore, Junior, Senior or Graduate student.
- Must have an overall minimum G.P.A. of 3.0 or above.
- Effective verbal and written communication skills.
- Ability to maintain effective working relationships with officers, managers, fellow employees, and the general public.
- Ability to maintain a strong sense of propriety concerning confidential matters.
Responsibilities
- Assisting in data preparation, visualization, and dashboard development.
- Supporting predictive algorithm design and integration with BI platforms.
- Participating in AI enablement activities, including prompt engineering and generative AI use cases.
- Collaborating on ongoing projects such as AMI analytics and solar generation modeling.
- Complete onboarding and training on enterprise analytics tools (Power BI, Alteryx, Oracle Fusion).
- Understand the team’s BI enablement roadmap and Datawatts program.
- Gain proficiency in integrating Python with Power BI for predictive modeling.
- Learn to build dashboards and automate workflows for analytics reporting.
- Assist in AMI use case development and solar generation modeling.
- Support AI enablement initiatives, including prompt engineering and generative AI solutions.
- Participate in team meetings and shadow senior analysts.
- Document processes and share insights during lunch-and-learn sessions.
- Deliver a final project (e.g., predictive model or dashboard) addressing a real business need.
- Present findings to the team and mentor for feedback.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
Number of Employees
501-1,000 employees
