Asset Data Analyst

National Grid; Bristol; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A leading electricity distribution company is seeking two Asset Data Analysts to join their Asset Intelligence and Data Science Team in Bristol. The role involves uncovering insights through data analysis, preparing reports, and improving asset performance. Proficiency in Python and SQL is required, along with skills in data visualization using tools like Power BI. The position allows for hybrid working and involves occasional travel. A degree in a quantitative discipline is preferred.

Benefits

Hybrid working model

Career development opportunities

Inclusive workplace culture

Qualifications

• Proven experience in a data analyst or similar role.
• Proficiency in Python, SQL, and Excel.
• Skilled in data visualization tools.

Responsibilities

• Extract and analyse data to uncover insights and patterns.
• Prepare and present impactful reports to management.
• Track model performance and recommend improvements.

Skills

Data analysis

Statistical analysis

Data visualization

Communication skills

Problem-solving

Python

SQL

Microsoft Excel

Education

Bachelor's degree in Engineering or Data Science

Tools

Power BI

Tableau

Job description

We have exciting opportunities for two Asset Data Analysts to join our newly established Asset Intelligence and Data Science Team.

In this role, you’ll report to the Asset Intelligence and Modelling Manager and play a pivotal part in driving improvements to the performance of assets and circuits across National Grid Electricity Distribution (NGED). Your work will help shape strategic decisions through data-driven insights and innovative modelling.

The position is ideally based in Bristol, though we’re open to considering other locations within our licence area. As part of our hybrid working approach, you’ll enjoy a blend of office and home working. This is a full-time role, but we’re happy to explore flexible working patterns. Occasional travel to other sites may be required.

Main Responsibilities

Data Analysis

• Extract and wrangle data from multiple sources to uncover insights, correlations, and patterns.
• Organise and transform complex information into clear, structured formats.
• Integrate structured and unstructured data to predict trends and inform decision‑making.
• Perform statistical analysis to support modelling and forecasting.
• Use advanced tools and techniques to visualise data in intuitive formats, such as dashboards and graphs.
• Monitor the health of the asset data lifecycle, implementing improvements and removing corrupt data.
• Track and evaluate ongoing model performance to ensure accuracy and reliability.
• Support cost‑benefit assessments for potential projects and measure benefits of implemented initiatives.
• Contribute to project management activities for data‑driven initiatives.

Reporting & Presenting Insights

• Prepare clear, impactful reports and present findings to management and cross‑functional teams.
• Identify and recommend opportunities to enhance asset, circuit, and incentive performance.
• Drive process and procedure improvements through inquisitive, data‑led analysis.
• Develop dashboards and reporting processes, ensuring accuracy and quality at every stage.

Ideal Candidate

• Proven experience in a data analyst or similar role, with a strong track record of turning complex data into actionable insights.
• Proficiency in Python, SQL, and Microsoft Excel for querying, manipulating, and analysing large datasets.
• Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, or similar platforms.
• Ability to work with large and complex datasets, applying statistical and analytical techniques to uncover trends and patterns.
• Strong communication skills, with the ability to present findings clearly and tailor insights to different audiences.
• Experience using data visualisation tools to create dashboards (e.g. Power Bi) and reports that drive decision‑making.
• A degree in Engineering, Data Science, or another quantitative discipline is preferred (or working towards this level).
• Familiarity with NGED’s asset data models and systems (e.g. Crown, Electric Office, IRIS) is desirable.
• Knowledge of NGED asset operations and network operations would be an advantage.
• Understanding of the Common Network Asset Indices Methodology and Network Asset Risk Metrics process would be beneficial.

Evidence of your qualification certificates will be required prior to appointment.

National Grid Electricity Distribution is committed to safeguarding the interests of the Company, colleagues and customers. This role is subject to a satisfactory Barring Service, (DBS) check, depending on the role different levels of screening and vetting are required. Some roles require a triannual check.

About Us

We’re National Grid Electricity Distribution (NGED), the owner and operator behind the electricity distribution systems for the Midlands, the Southwest of England and South Wales. Serving communities of more than 8 million people, our expert teams deliver heat, light and power for homes and businesses.

National Grid employs over 29,000 people worldwide. We are building an inclusive workplace, a place to actively celebrate the cultures, personalities and preferences of our colleagues – who in turn help to build the success of our business and reflect the diversity of the communities we serve. Our vision is to be at the heart of a clean, fair and affordable energy future and we are doing this in a fast‑moving industry with an increasing focus on tackling climate change, exploring new energy sources that are renewable, low carbon, and improve efficiency to meet demand.