Senior Data Intelligence & Supply Chain Analyst

Duke Energy Corporation; Town of Charlotte (NY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Duke Energy Corporation is seeking a data analytics professional to lead reporting and data analysis for supply chain and work management. You will develop Power BI dashboards, analyze data patterns, and drive data-driven decisions across the organization.

The role requires strong SQL/Python skills, data modeling expertise, and collaboration with stakeholders. Hybrid work setup with a focus on delivering actionable insights and scalable data solutions.

Qualifications

• Bachelors degree in one of the specified fields or equivalent.
• 3 years related work experience required.
• MSC/CPA credentials are desirable per the ad.

Responsibilities

• Extract key observations and insights from internal and external data sources to support decision-making
• Create ad-hoc reports to support end-user business requirements
• Data exploration, cleansing, validation and testing to optimize processes and discover value
• Collaborate with stakeholders, business partners, developers, and business analysts to deliver analytics solutions
• Perform opportunity analysis on supply chain and work management data to identify improvements
• Support development and maintenance of automated applications, tools and processes
• Manage data mart settings and functional specifications with approval guidance

Skills

SQL

Python

Power BI

Data mining

Data modeling

Education

Bachelors degree in Computer Science

Bachelors degree in Physics

Bachelors degree in Information Technology

Bachelors degree in Business Administration

3 years related work experience

Tools

Power BI

SQL

Python

R Studio

SAS

Job description

Duke Energy Corporation is seeking a data analytics professional to lead reporting and data analysis for supply chain and work management. You will develop Power BI dashboards, analyze data patterns, and drive data-driven decisions across the organization.

The role requires strong SQL/Python skills, data modeling expertise, and collaboration with stakeholders. Hybrid work setup with a focus on delivering actionable insights and scalable data solutions.