Open in the current public read path; this is not an employer guarantee.Last observed October 11, 2026
Classification
Modern power-system classification not yet published for this listing.Legacy source industry field: Utilities
Pay provenance
Employer-provided pay
Job Description
Connected, Committed, Trustworthy, Safe
Key Responsibilities
Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization.
Knowledge of machine learning techniques and algorithms.
Experience with data visualization tools like Posit or Power BI.
Understand key concepts related to managing and analyzing large datasets. This includes using statistical methods and machine learning algorithms to derive actionable insights.
Translate the business goals to technical expertise.
Translate data insights into actionable recommendations for decision-makers.
Collaborate closely with more senior team members and learn from experienced colleagues.
Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.
Requirements
Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration is required. Other bachelor’s degrees with data science relevant certifications will be considered.
Experience using Power BI, Databricks, and/or Microsoft Power Apps.
Candidates are encouraged to provide a portfolio or examples of work demonstrating their experience with large-scale data management, analytics, reporting, or application development.
Knowledge of the 1Xcel Way and Lean methodologies, including continuous improvement tools and process optimization practices.(Internal candidates)
Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.