At a Glance
- Tasks: Lead analytics and AI projects, turning complex data into actionable insights.
- Company: Join RES, the world's largest independent renewable energy company.
- Benefits: Competitive salary, professional development, and a commitment to diversity.
- Other info: Be part of a collaborative team shaping the future of AI and analytics.
- Why this job: Make a real impact in the fight against climate change with cutting-edge technology.
- Qualifications: 15+ years in analytics, strong Python and SQL skills, and leadership experience.
The predicted salary is between 90000 - 110000 £ per year.
RES is the world's largest independent renewable energy company. Our mission is simple: a future where everyone has access to affordable, zero-carbon energy. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI to solve hard business problems.
The Role
- Own the delivery of analytics and AI products at RES — turning complex data into trusted, governed insight consumed by senior leaders and decision-makers across the business.
- This is a hands-on technical role and leadership role with 15+ years of experience required. Build models, write Python and SQL, apply LLMs and machine learning to business questions, and deliver automation that cuts manual effort and unlocks new insight.
- Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action.
- Lead working groups and present to executive stakeholders with strong negotiating and influencing skills.
- Provide leadership and line management to junior staff and federated teams, coaching and developing them while being the global lead for reporting, analytics, and AI.
- Support teams in moving from manual reporting to governed, AI-enabled analytics.
What You'll Do
- Deliver reporting, data modelling, and advanced analytics across complex business domains — defining, validating, and owning the definitions, metrics, and models that drive decisions.
- Apply machine learning to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting.
- Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation — including prompt engineering and retrieval-augmented generation (RAG).
- Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders.
- Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences.
- Develop comprehensive semantic data models and business intelligence solutions and quality data for consumption by AI tools.
- Identify and deliver automation opportunities using tools such as Power Platform, Power Automate, or equivalent.
- Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers.
- Lead UAT and business validation for analytics outputs and AI products.
What You'll Bring
- Extensive experience leading business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action.
- Strategy, planning, and roadmap delivery and implementation to KPI standards.
- Semantic and dimensional data modelling — design comprehensive models from different source systems using state-of-the-art modelling techniques.
- Data visualisation — ability to design clear, accurate, executive-ready outputs using tools such as Power BI or equivalent.
- Strong Python, modelling, and SQL skills applied in an analytical context.
- Knowledge in building and applying supervised and unsupervised models to real business problems.
- Experience with platforms such as Power Platform, Power Automate, or equivalent.
- Experience applying fairness, explainability, and governance principles to analytical products.
- Strong communication skills to translate complex data into clear and prioritised requirements and products that drive business decisions.
Your Background
- Degree in data science, data analytics, or computer science.
- Hands-on experience delivering extensive reporting, modelling, and advanced analytics work across complex and diverse data domains and multiple source systems at the enterprise level.
- 10+ years' experience as a technical analyst, delivering advanced analytics and AI solutions with measurable business impact.
- Proven experience delivering comprehensive semantic and dimensional data models.
- Extensive experience with the Microsoft Azure platform for reporting, data development, and analytics.
- Strong understanding of data governance, quality, and responsible AI principles.
- Track record of working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions.
- Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric.
- Relevant certifications in AI/ML, Power BI, or Microsoft Azure is desirable.
Why RES?
- A genuinely global data platform with real complexity and ambition behind it.
- A modern, cloud-first stack — Azure, Fabric, Synapse, and active investment in AI tooling.
- Work that matters — your analysis will inform strategic decisions in a company actively fighting climate change.
- A collaborative, growing data function with real scope to shape how analytics and AI evolves at RES.
- Competitive salary, benefits, and commitment to your professional development.
At RES, we celebrate differences as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas, and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients.
Reporting, Analytics and AI - Senior Lead in Kings Langley employer: Renewable Energy Systems
At RES, we are committed to fostering a supportive and inclusive work environment where every employee can thrive. As the world's largest independent renewable energy company, we offer our IT Business Analysts not only competitive benefits but also unparalleled opportunities for personal and professional growth within a diverse and collaborative team. Join us in making a meaningful impact on the future of energy while working alongside inspiring colleagues in a culture that values innovation and continuous learning.
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We think this is how you could land Reporting, Analytics and AI - Senior Lead in Kings Langley
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We think you need these skills to ace Reporting, Analytics and AI - Senior Lead in Kings Langley
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
