Senior Data Analyst, Resilience and Reliability (Hybrid)

Eversource Energy - Westwood, MA

Full-time - Mid Level

Hybrid - Westwood, MA

Utilities

About the position

The Senior Data Analyst will play a crucial role in Eversource's Resilience and Reliability group, focusing on implementing a data-driven strategy to enhance the electric transmission and distribution grid. This position involves analyzing data to support resilience and reliability initiatives, creating risk-based models, and collaborating with various teams to optimize project planning based on historical data. The role is essential for developing an enterprise-wide strategy that addresses the challenges of operating across multiple states (MA, NH, and CT) while ensuring compliance with regulatory requirements.

Responsibilities

• Support the group's data collection, storage, and management efforts.
• Review and analyze data from multiple internal and external sources.
• Support internal and external tracking and reporting requirements associated with resilience and reliability.
• Provide solutions to improve data quality and its implications for planning and business decisions.
• Identify and remediate root causes of data issues and anomalies.
• Translate results of statistical analysis and predictive analytics into actionable insights.
• Develop analytics tools for resilience and reliability planning, including regulatory requirements.
• Perform regular database management duties including backups and audits to ensure SQL databases remain accessible and secure.
• Collaborate with multiple groups to access and aggregate data streams from various sources.

Requirements

• Bachelor of Science Degree in Engineering or other quantitative field.
• Minimum of five (5) years related experience in data analytics, data engineering, or Data Science.
• Demonstrated programming experience using SQL, VBA, Python, MATLAB, R, and database programming (SQL Server, Oracle, MySQL, Access, SQLite).
• Ability to analyze, infer, and interpret information to solve complex problems.
• Experience working cross-functionally with various teams.
• Commitment to a customer-first work ethic.
• Fast learner with the ability to train others in the near term.
• Interest in understanding the data needs of a regulated utility and the constraints of the regulatory environment.

Nice-to-haves

• Familiarity with risk-based models and probabilistic analysis.
• Familiarity with machine learning models.
• Electrical or power engineering education or industry experience.
• Experience with Power-BI.

Benefits

• Competitive total rewards program.
• Annual salary range of $102,160.00 to $113,500.00, plus incentive.