Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Analyst

SP Electricity North West
Preston
2 days ago
Create job alert
Overview

We’re champions of the North West and proud that it’s our electricity network that connects communities and keeps the electricity flowing every minute of every day. A key part of the UK’s journey to net zero carbon is enabling clean, green economic growth. As the North West’s electricity network operator, we lead the way to decarbonise the region and pave the way for renewable energy and a sustainable energy future for all. In December 2024 we were named Utility of the Year by Utility Week magazine for innovation in solving industry challenges. Together we have the energy to transform communities. We are switched on. We are adaptable. We take pride.

Our Role

Are you a strategic thinker with a passion for data‑driven decision‑making and team leadership? We’re looking for a Lead Business Analyst to head up our Insights team and shape the future of our Customer Contact Centre. In this high‑impact role, you’ll lead a talented team of Analysts, mentoring and developing their skills in business intelligence, data storytelling, and technical delivery. You’ll drive our BI evolution—translating complex data into actionable insights that reflect the voice of our customers and influence key business decisions.

What You’ll Be Doing
  • Lead and inspire a small team of BI Analysts, fostering a culture of growth, collaboration, and innovation.
  • Own the end‑to‑end analysis process, from data extraction to insight delivery, ensuring outputs are clear, actionable, and aligned with business goals.
  • Partner with stakeholders across the Customer Contact Centre and wider business to understand challenges and deliver impactful solutions.
  • Shape and evolve our BI suite, ensuring it meets the dynamic needs of the business and supports continuous improvement.
  • Champion data excellence, ensuring high standards in data modelling, visualization, and reporting.
What You’ll Bring
  • Proven experience leading and developing BI or Data Analysts, with a strong coaching mindset.
  • Advanced skills in Power BI, including dashboard creation and data storytelling.
  • Strong knowledge of SQL, VBA, and DAX for data manipulation and automation.
  • Solid understanding of data warehouse concepts and data modelling.
  • A strategic mindset with excellent problem‑solving skills and attention to detail.
  • Strong communication and stakeholder engagement skills.
  • Ability to work autonomously and collaboratively in a fast‑paced environment.
Why Join Us

We’re proud to offer a supportive, inclusive, and rewarding environment where you can thrive. Here’s what you can expect:

  • Competitive salary + annual bonus scheme
  • 25 days holiday plus bank holidays, increasing with service
  • Private healthcare
  • Employee rewards portal with discounts on top brands
  • Market‑leading pension scheme
  • Employee assistance programme
  • Professional development opportunities through our L&D function

We’re passionate about creating a workplace where everyone can be themselves, grow their career, and make a real impact. We welcome diverse perspectives and are committed to building a team that reflects the communities we serve.

Should you require any additional support with your application, or any adjustments please contact our Recruitment team at or on (option 2).

Any offer made will remain conditional until pre‑employment checks are complete to a level deemed satisfactory by Electricity North West. Due to the nature of this role, the following pre‑employment checks will be required: references from previous employers, Disclosure and Barring Service (DBS) and a Drug & Alcohol test.

We reserve the right to close this vacancy early.

We don’t accept speculative CVs from agencies. Any received we will assert ownership of the candidate and no fee will be payable.

Employment details
  • Seniority level: Mid‑Senior level
  • Employment type: Full‑time
  • Job function: Information Technology
  • Industries: Utilities

Note: This description reflects the current role and responsibilities. Other postings and information shown are for context and may not be part of this specific role.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.