Senior Data Analyst (Gas Engineering) at National GridWaltham, Massachusetts, United States — full-time

About us

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry. To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.

At National Grid, we aim to create an environment where everyone is welcomed for who they are and where our differences are celebrated. We utilize the insights of our employees that come from all different cultures, backgrounds, and beliefs to better serve our customers and communities.

National Grid is hiring a Senior Data Analyst (Gas Engineering). This hybrid role is located in our Waltham MA location.

Job Purpose

Responsible for advancing data management maturity, analytics capabilities, GIS utilization, and technology enablement across Gas Asset Management & Engineering (GAME). The role leads and supports efforts to improve asset data quality, governance, system connectivity, risk model utilization, automation, and reporting while advancing the strategic use of Snowflake, GIS, Enterprise Maximo, and related platforms.

The primary focus is to connect people, processes, data, and technology to create trusted, analytics-ready information that supports risk-informed asset management, regulatory compliance, operational excellence, and measurable business value.

Key Accountabilities

Drive improved utilization of connected data across Snowflake, GIS, Enterprise Maximo, risk model platforms, reporting environments, and other relevant systems.

Define business and analytical requirements for data integration, interoperability, pipelines, interfaces, and reusable data models.

Identify data silos, reconciliation points, and manual handoffs; partner with IT and data engineering teams to implement sustainable improvements.

Promote end-to-end traceability from source data through analytical outputs and business decisions.

Expand the use of GIS from mapping and visualization to spatial analysis, workflow enablement,