Principal Data Analyst

Principal Data Analyst

Salary: Up to £90,000 plus bonus & benefits

Location: Hybrid, London (3 days per week onsite)

Type: Permanent

I've partnered with an innovative technology business operating at the intersection of clean energy and electric mobility. With a growing international presence and a portfolio of high-profile partnerships across the automotive and energy sectors, they are using data and intelligent systems to help shape a more sustainable future.

As they enter their next phase of growth, the business is looking for a Principal Data Analyst to drive high-impact analysis, shape data products, and enable insight-led decision-making across the organisation. This is a hands-on, strategic role suited to a commercially minded analyst ready to work at the heart of a purpose-led, AI-first business.

You’ll collaborate with stakeholders across product, operations, and commercial teams to uncover opportunities, optimise performance, and deliver scalable analytics solutions.

Key Responsibilities as Principal Data Analyst:

• Deliver robust, actionable insights that influence strategic and operational decisions.
• Own and lead high-value analytics projects across business domains.
• Design and build dashboards, data models, and reporting tools to support self-serve analytics.
• Collaborate with cross-functional teams to define metrics, KPIs, and success criteria.
• Work with engineering and data teams to improve data quality, accessibility, and infrastructure.
• Apply statistical methods and advanced analytics techniques where appropriate.
• Act as a subject matter expert in analytics and contribute to the development of best practices.

Requirements for Principal Data Analyst:

• Proven experience in a senior analytics or data science role, ideally in a scale-up or tech-led business.
• Strong technical skills in SQL and, with experience working with large datasets.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Proficiency in BI tools such as Power BI, Tableau, or Looker.
• Solid grasp of data modelling, experimentation, and statistical analysis.
• Strong communication skills, able to tell compelling data stories to technical and non-technical audiences.
• A degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Economics.

This is a fantastic opportunity for a data-driven problem solver to join a high-impact team and shape the future of clean energy and mobility through analytics. If you're looking to apply your expertise in a fast-growing, purpose-led environment, we’d love to hear from you.

** Due to the high volume of applications, not all submissions will receive feedback.