Lead Data Analyst
Application Deadline: 12 July 2026
Department: Technology
Employment Type: Permanent - Full Time
Location: Chippenham, Wiltshire
Reporting To: Seb Lear
Compensation: £65,000 - £75,000 / year
Description
We have an exciting opportunity for a Data Analytics Lead to join our team and play a pivotal role in shaping how data, analytics and AI drive decision‑making across the business.
Reporting to the Head of Data, you’ll combine strategic leadership with hands‑on technical expertise, leading our analytics function while remaining close to the data and the challenges that matter most.
You’ll directly manage two central BI Analysts and provide technical leadership, coaching and mentorship to a wider community of ten analysts embedded across the business. Acting as a trusted partner to senior stakeholders, you’ll help define the right questions, uncover meaningful insights and turn complex analysis into clear, actionable recommendations.
We’re looking for a commercially minded analytics leader who thrives in a fast‑moving environment and is passionate about delivering measurable business impact. You’ll set the direction for analytics at Good Energy, own the analytics roadmap and play a key role in shaping how BI, AI and modern data tools are adopted across the organisation.
This is a high‑impact role at the heart of data‑driven decision‑making, business transformation and innovation.
Responsibilities
- Analytics strategy & leadership: Define and deliver our analytics strategy, ensuring analytics activity is aligned to business priorities and delivers measurable value.
- Team leadership & capability building: Lead and develop two central BI Analysts while providing technical leadership, coaching and support to a wider community of analysts across the business.
- Hands‑on analytics & technical excellence: Stay close to the data, leading by example on analytical quality, technical standards and best practice while supporting complex investigations and high‑priority business questions.
- Stakeholder partnership & decision support: Build strong relationships with senior leaders, translating business challenges into analytical approaches, insights and recommendations that drive action.
- Data storytelling & communication: Champion clear, concise and business‑focused communication, ensuring insights, dashboards and recommendations are understood, trusted and acted upon.
- Roadmap ownership & prioritisation: Own analytics intake, prioritisation and delivery processes, making informed trade‑offs and providing visibility on priorities, progress and outcomes.
- Experimentation & performance improvement: Embed data and experimentation into decision‑making across product, marketing and operational teams, helping the business test, learn and continuously improve.
- AI‑enabled ways of working: Champion the use of AI‑assisted tools (Claude, Cursor, Copilot or similar) within the team to speed up iteration, improve code, sharpen documentation and raise the quality of every analysis.
- Governance, compliance & assurance: Ensure analytics outputs, controls and documentation meet regulatory, audit and compliance requirements.
- Cross‑functional collaboration: Partner closely with Data Engineering, Data Science and Technology teams to ensure analytics solutions are scalable, reliable and aligned with our wider data strategy.
What you’ll need to succeed
We’re looking for a hands‑on analytics leader, who blends deep technical capability with strong stakeholder leadership. You’ll be comfortable writing SQL and reviewing complex queries when shaping analytics strategy, building trust with senior leaders, and turning ambiguity into clear, actionable insight.
You’ll likely have experience helping to build or mature a data function in a fast‑moving environment where definitions, tooling and ways of working were still evolving.
Essentials
- Strong SQL & data fluency: Confident writing and reviewing SQL, and collaborating closely with data engineering in modern lakehouse/warehouse environments (e.g. Databricks).
- BI tooling expertise: Experience with modern BI tools (Power BI, Looker, Tableau, Lightdash, Metabase or similar), including semantic layer design or rollout.
- AI‑enabled analytics: Practical experience using AI tools (e.g. Claude, Copilot, Cursor) to accelerate analysis, improve code quality and enhance documentation.
- Metric & KPI ownership: Strong conviction on metric definitions and governance, with experience improving or rebuilding KPI frameworks and semantic consistency.
- Stakeholder influence: Excellent communicator who builds trust quickly, uncovers the real problem behind requests, and translates analysis into clear, compelling narratives.
- Building in ambiguity: Comfortable working in evolving environments, helping establish structure, standards and data culture from the ground up.
Hybrid working explained: When and where you’ll be in the office
Our office is based in Chippenham, Wiltshire. For this role, we’re looking for candidates who can come in to our Chippenham office, once a week based on location.
We offer both formal and informal flexible working options. Full‑time hours are 37.5 per week, Monday to Friday.
The office is fully accessible, allowing everyone to participate fully in their working lives regardless of any mobility challenges. We promote work‑life balance and flexibility through hybrid working, which combines both remote and office work.
Benefits you can rely on
- £500 work from home allowance.
- £500 travel allowance.
- £500 annual development allowance.
- 15% annual bonus: company‑wide bonus scheme designed to reward collective teamwork and delivery of results across the whole business.
- 25 days annual leave, a day off for your birthday, additional days leave for long service, plus bank holidays. You’ll also have the option to buy additional leave, allowing for a better work‑life balance.
- Ethical pension plan provided by Aviva, with employer‑matched contributions up to 7.5% of your base salary.
