Energy Data Analytics Intern - Power BI & Dashboards

dairynet; La Crosse (WI); On-site; USD 36,000 - 47,000; Full time

Job summary

Dairynet is seeking an Energy Data Analyst Intern to transform energy and business data into clear, actionable reports. You will build dashboards and data models to support decision-making, monitor performance, and identify trends across energy, financial and operational domains.

You will work with Power BI, create DAX measures, connect diverse datasets, and translate business questions into analytical products.

Qualifications

• Pursuing undergrad or graduate in data analytics or related field.
• Experience creating dashboards in Power BI.
• Knowledge of relational data and data modeling.
• Strong communication and data accuracy.

Responsibilities

• Design, build and maintain dashboards/scorecards for energy, financial and operational analysis.
• Develop clear data visualizations for users to understand trends and results.
• Create and maintain Power BI models using STAR schema and dimensional modeling.
• Connect, clean and organize datasets from multiple sources.
• Develop DAX measures and KPIs reflecting reporting needs.
• Gather requirements from staff and translate questions into analytical products.
• Validate reports and source data for accuracy and reliability.
• Present findings to technical and nontechnical audiences.
• Occasional travel may be required.

Skills

Data analysis

Data visualization

Requirements gathering

Communication

Attention to detail

Independent work

Time management

Problem-solving

Education

Undergraduate or graduate data analytics (in progress)

Tools

Power BI

DAX

SQL

STAR schema

Dimensional modeling

Job description

Dairynet is seeking an Energy Data Analyst Intern to transform energy and business data into clear, actionable reports. You will build dashboards and data models to support decision-making, monitor performance, and identify trends across energy, financial and operational domains.

You will work with Power BI, create DAX measures, connect diverse datasets, and translate business questions into analytical products.