Data Analyst – Asset & Records Control

Role Overview

The Data Analyst will be responsible for leveraging advanced statistical modeling to support reliability improvement initiatives, including predicting equipment failure impacts, weather impacts, and predicting future reliability based on asset health, system maintenance, and capital investment.

What You Will Do

The candidate will query large amounts of data, interpret the data, and analyze results using advanced statistical techniques, perform advanced analytics using linear regression, machine learning, and other quantitative methods, and develop reports using various tools.

Why It Might Be a Fit

The successful candidate will have strong communication and consultation skills to understand business needs across the organization, ability to translate data into meaningful business models, and leverage predicative analytics to support reliability initiatives.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field
• Minimum 4 years of relevant work experience
• Demonstrated proficiency in processing, manipulating, and generating insight from large data sets of structured and unstructured data
• Experience in the implementation of complex programs and projects
• Knowledge of statistical methods, predictive modeling techniques, and data mining algorithms
• Proficiency in programming languages such as Python, R, or SQL
• Knowledge of FE systems: iTOA, OPPM, GIS, Cascade, EMS, SAP, and PI

Benefits

• Competitive pay plus incentive compensation
• Company-sponsored pension plan
• 401(k) savings plan with matching employer contribution
• Medical, prescription drug, dental, vision, and life insurance programs
• Skills development training with tuition reimbursement

Tagged as: Data Analysis