Senior Data & BI Analyst — Power Platform & ETL

Duke Energy; United States; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Duke Energy is seeking a hands-on Business Analyst and Data Engineer to serve the Energy Services Business Support Team. You will translate business needs into reliable data integrations, Power BI reporting, and workflow solutions supporting sales, marketing, and operations.

You will develop and maintain data models, automate recurring processes, and collaborate with IT and business stakeholders to deliver practical, maintainable solutions while ensuring data quality and governance standards.

Qualifications

• Bachelor's degree and 3+ years related experience, OR GED/HS and 7+ years related experience in lieu of a bachelor's degree.
• Strong proficiency with Power BI, Power Platform, Python, SQL, and DAX.
• Experience with data modeling, ETL pipelines, and governance/quality.
• Excellent communication and stakeholder engagement skills.

Responsibilities

• Build authoritative data models and ETL pipelines across Power BI, Salesforce, Power Platform, and Excel.
• Design and maintain Power Apps and Power Automate solutions to streamline processes.
• Track business metrics and perform data analysis with Python, SQL, and DAX.
• Lead project management activities and facilitate sessions to meet objectives.
• Collaborate with IT and business stakeholders to define requirements and technical design.

Skills

Data analysis

Power BI

SQL

Python

ETL pipelines

Power Apps

Power Automate

DAX

Excel

Project management

Stakeholder management

Education

Bachelor's degree

GED/HS equivalency

Tools

Salesforce CRM

Power Platform

Dataverse

Excel

Job description

Duke Energy is seeking a hands-on Business Analyst and Data Engineer to serve the Energy Services Business Support Team. You will translate business needs into reliable data integrations, Power BI reporting, and workflow solutions supporting sales, marketing, and operations.

You will develop and maintain data models, automate recurring processes, and collaborate with IT and business stakeholders to deliver practical, maintainable solutions while ensuring data quality and governance standards.