Head of Data Analytics | Green Energy | DBT & Snowflake
Salary: Up to £120,000 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 smart technology. 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 part of their next phase of growth, they’re looking for aHead of Data Analytics to lead on data strategy, insight delivery, and the development of scalable analytics capabilities. This is a key leadership role with significant influence over how data and AI are embedded across the organisation.
The Head of Data Analytics will be responsible for leading a talented analytics function, driving insights, and enabling self-serve capabilities across the company. You’ll be hands-on where needed but also a strategic leader who can influence the roadmap for AI and data use across a rapidly evolving business landscape.
Key Responsibilities as Head of Data Analytics:
- Shape and deliver the data analytics strategy in line with wider business goals.
- Lead and grow a high-performing analytics team in a fast-paced environment.
- Promote a data-first culture, embedding experimentation and insight-led decision-making.
- Partner with business units to deliver tools and dashboards that drive clarity and action.
- Identify and apply emerging trends in analytics, AI, and machine learning.
- Build scalable analytics infrastructure using modern cloud technologies.
- Present complex data insights clearly to both technical and non-technical stakeholders.
Requirements as Head of Data Analytics:
- Proven track record of leading data strategy in high-growth or scale-up settings.
- Strong technical skills in Python, SQL, and cloud platforms (AWS, Azure, or GCP).
- Hands-on experience working with both DBT & Snowflake
- Experience building and managing analytics teams.
- Degree in a quantitative field (e.g. Computer Science, Statistics, Data Science).
- Commercially minded with a focus on driving business value through data.
- Proficient in BI tools such as Tableau, Power BI, or Looker.
- Solid grasp of analytics infrastructure, data modelling, ML, and AI.
- Strong communicator and confident stakeholder manager.
This is an exciting opportunity to join a high-impact team on a mission to drive sustainability and innovation at scale through data. If you’re ready to shape the future of data in a purpose-led, AI-first business, we’d love to hear from you.
** Unfortunately, due to the high volume of applications, not all submissions will receive feedback.
