Lead Data Analyst and Insights

We have an exciting opportunity for a Lead Data Analyst and Insights to play a key role in shaping insight, performance, and decision‑making across National Grid Electricity Distribution (NGED).

Reporting to the Head of Project Management Office (PMO), you’ll lead a team responsible for uncovering opportunities to improve how we operate through deep, meaningful analysis of our internal data. Working across NGED’s major projects, you’ll help the business stay ahead of its financial and operational performance, ensuring we have the insight needed to make confident, evidence‑based decisions.

As part of our hybrid working approach, you’ll enjoy a blend of office and home working. This is a full‑time role, though we’re happy to consider flexibility in working patterns. Occasional travel to other locations may be required.

Main Responsibilities

• Leading and developing a small team of Data Analysts
• Recommending strategic changes to process from detailed trend analysis
• Directing your team to key activities and prioritising workloads to strategic business objectives
• Defining and shaping insightful reporting for audiences at all levels.
• Simplifying complex data into consumable reports
• Identifying missing or inconsistent data, working with senior leaders—including Heads of Department and Directors—to agree required data points.
• Holding regular team reviews and setting clear direction for delivery.
• Being accountable for time‑bound reporting for the wider business unit
• Collaborating with different teams to enhance data infrastructure, analyse business (financial & operational) performance, and identify areas for improvement.
• Use SQL and other tools (e.g., Power
  
  BI) to extract and analyse data for business insights.
• Analyse business metrics and provide recommendations to improve visibility and performance.
• Conduct experimental analysis to assess the impact of new initiatives.

As part of our hybrid working approach, you’ll enjoy a blend of office and home working. This is a full‑time role, though we’re happy to consider flexibility in working patterns. Occasional travel to other locations may be required.

• Wrangling data to extract information from various data sets and identify correlations and patterns
• Organising and transforming information into comprehensible structures
• Combining structured and unstructured data to predict trends
• Performing statistical analysis of data
• Using tools and techniques to visualise data in easy-to-understand formats, such as graphs and dashboards.
• Monitoring data quality and removing corrupt data

• Preparing reports and presenting these to management or other departments
• Identifying and recommending new ways to streamline business processes
• Using data driven analysis, monitoring performance and providing clear recommendations to drive the company forward to help support the company’s ambitious growth aspirations
• Providing leadership and identifying opportunities to improve process and procedures
• through inquisitive analysis

• Demonstrable team leadership experience, with the ability to guide, support and motivate others.
• Proven experience as a Data Analyst gained within a Capital Projects delivery environment.
• Strong proficiency in Python (preferred), with the ability to query and manipulate raw datasets using SQL and Microsoft Excel.
• Confident user of data visualisation tools, such as Power BI, with the ability to bring data to life and communicate insights clearly.
• A natural curiosity and ability to tell the story behind the data, offering clear, actionable insights that resonate with differing stakeholders.
• Expertise in data analysis, with a proven ability to deep‑dive into complex datasets, identify patterns, and translate findings into meaningful insights.
• Skilled at tailoring data stories to different audiences, presenting information in a way that informs, influences and supports decision making.
• A Bachelor’s degree in Business, Mathematics, Statistics, Data Science or another quantitative discipline is preferred, although candidates with equivalent experience will be considered equally.

Natio…