Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data-driven decision-making and empower teams with real-time insights.
- Company: Join the world's largest independent renewable energy company.
- Benefits: Competitive salary, diverse workforce, and opportunities for personal and professional growth.
- Why this job: Make a real impact in renewable energy through innovative data solutions.
- Qualifications: Experience in data reporting, analytics, and leadership in a global context.
- Other info: Be part of a dynamic team that values diversity and innovation.
The predicted salary is between 60000 - 80000 £ per year.
Do you want to work to make Power for Good? We are the world’s largest independent renewable energy company, guided by a vision to create a future where everyone has access to affordable, zero carbon energy. Achieving our ambitions would be impossible without our people, who are our most important asset. That’s why we continually invest in them.
RES is a family with a diverse workforce, dedicated to the personal and professional growth of our people, no matter what stage of their career they’re at. We promise rewarding work that makes a real impact, the chance to learn from inspiring colleagues across a growing global network, and opportunities to grow personally and professionally. Our competitive package offers a wide range of benefits and rewards.
Are you ready to shape the future of data-driven decision-making across one of the world’s leading renewable energy businesses? At RES, we are driving transformation through the power of data and insights – and we’re looking for a visionary Reporting and Analytics Lead to lead the way.
In this pivotal role, you will be responsible for designing and delivering scalable, secure, and future-ready data modelling, reporting, and analytics through our Azure platform, serving as the single source of truth for our enterprise. Your mission is to empower teams across the business with reliable, real-time insights that drive smarter, faster, and more impactful decisions.
You’ll sit within our Data & Analytics function, collaborating with technology and business stakeholders to shape strategy and implement robust global reporting and analytics at scale. You will own and lead the global reporting and analytics delivery capability and standards, ensuring dashboards and reports are aligned to business priorities, built on governed data products, and delivered with strong adoption and change management.
You will lead and deliver modelling, reporting, and analytics while line managing, coaching, and mentoring team members.
Accountabilities:- Own Group reporting, modelling, and analytics across the globe, including prioritisation, standards, delivery approach, and adoption metrics.
- Lead BI platform governance: workspace structure, release management, certification, lifecycle, and performance standards.
- Leadership and line management of modelling, reporting, and Power BI staff in the data team, building a high-performing team.
- Define and enforce reporting standards, managing reporting delivery across domains, ensuring traceability from requirements to semantic model to published report.
- Partner with stakeholders to shape use cases, success measures, and iterative plans.
- Enable self-service safely: training, templates, guardrails, and approval workflows for sensitive data.
- Be at the forefront of the latest tools, technologies, and techniques in reporting and analytics.
- Champion AI-enabled analytics with appropriate controls.
- Measure and improve value realisation: adoption, time saved, reduced manual reporting, and stakeholder satisfaction.
- Expertise in enterprise BI delivery and operating models (governance, release, performance, adoption).
- Advanced technical skills in hands-on delivery of reporting and analytics using Microsoft Azure, Synapse, Power BI, and other tools.
- Highly skilled in semantic modelling and building consistent metrics and reporting layers.
- Capability to lead product-style delivery: backlogs, user stories, prioritisation, stakeholder management.
- Strong data visualisation and UX principles; ability to critique and uplift reporting quality.
- High level of skill and knowledge of data privacy and security considerations for reporting and self-service.
- Leadership, coaching, and skills.
- Working knowledge and skills in AI and machine learning applications in analytics and reporting, including responsible use controls.
- Effective communicator with strong influencing, negotiating, and relationship-building skills.
- Able to work independently, manage competing priorities, and lead through change.
- Provide hands-on technical guidance to delivery and data teams across different reporting and analytics platforms.
- High attention to detail, integrity, and a commitment to ethical data use.
- Strong executive written documentation, planning, organisation, prioritisation, and design governance.
- Passionate about data and innovative to enable RES to stay ahead of and implement global best practice in modern, scalable, and future-proof reporting and analytics.
- Bachelor's Degree in data analytics, data science, etc.
- Extensive experience in data reporting and analytics in a global organisation, with a track record of delivering secure, high-value global data solutions.
- Experience leading reporting/BI functions in a global enterprise environment.
- Experience in leadership and line management of a data reporting and analytics team driving high performance, accountability, innovation, and the latest technology for automation, cost efficiency, and innovation.
- Track record delivering executive and operational reporting with high adoption and measurable business impact.
- Extensive experience implementing Microsoft Azure and Power BI products and governance and self-service frameworks at scale.
- In-depth knowledge and practical implementation of compliance frameworks and global employment regulations.
- Knowledge of global data standardisation frameworks for harmonising data definitions, taxonomies, and formats across regions.
- Proven experience in data modelling, reporting, and analytics for IFS (RES’s enterprise ERP system) and extensive experience in financial and human resources data, corporate services multiple system integration data architecture in a global context.
- Exposure to AI-assisted analytics capabilities and integration with governed data platforms.
- Strong communication and stakeholder engagement skills, alongside technical breadth in data modelling, reporting, and analytics.
- Extensive experience briefing executive leaders and running reporting and analytics programmes across the world.
At RES, we celebrate difference 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 Lead in Kings Langley employer: RES
Contact Detail:
RES Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reporting & Analytics Lead in Kings Langley
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector, especially those working at RES. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data modelling and analytics work. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Be ready for the interview! Research RES’s projects and values. Think about how your experience aligns with their mission of making power for good. Tailor your answers to show you're the perfect fit.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the RES family.
We think you need these skills to ace Reporting & Analytics Lead in Kings Langley
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data analytics and reporting. We want to see how your skills align with our mission of driving transformation through data!
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of how you’ve made an impact in previous roles. We love seeing quantifiable results that demonstrate your ability to drive smarter decisions.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experience and how it relates to the role. We appreciate clarity as much as we value creativity!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at RES
✨Know Your Data Inside Out
As a Reporting & Analytics Lead, you’ll need to demonstrate your expertise in data modelling and analytics. Brush up on your knowledge of Microsoft Azure, Power BI, and the specific tools mentioned in the job description. Be ready to discuss how you've used these technologies to drive decision-making in previous roles.
✨Showcase Your Leadership Skills
This role involves leading a team, so be prepared to share examples of how you've successfully managed and mentored others. Highlight your experience in building high-performing teams and how you’ve fostered a culture of accountability and innovation in your past positions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world challenges. Think of specific scenarios where you’ve had to implement reporting standards or manage stakeholder expectations, and be ready to explain your thought process and the outcomes.
✨Communicate Complex Ideas Simply
You’ll need to articulate complex data insights to non-technical audiences. Practice explaining your past projects in a way that’s easy to understand. Use clear examples to show how your insights have led to impactful decisions, demonstrating your ability to bridge the gap between technical and business stakeholders.