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, committed to zero carbon energy.
- Benefits: Enjoy a competitive salary, diverse benefits, and opportunities for personal and professional growth.
- Other info: Be part of a diverse team that values different perspectives and innovative solutions.
- Why this job: Make a real impact in renewable energy while working with cutting-edge data technologies.
- Qualifications: Experience in data analytics and leadership in a global organisation is essential.
The predicted salary is between 70000 - 90000 £ per year.
Do you want to work to make Power for Good? We're 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. We continually invest in them, offering rewarding work that makes a real impact, opportunities to learn from inspiring colleagues, and personal and professional growth.
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 design and deliver 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: 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 and line-manage, coach and mentor team members delivering the work.
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 and build a high-performing team.
- Define and enforce reporting standards. Manage 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.
Skills:
- Expertise in enterprise BI delivery and operating models (governance, release, performance, adoption).
- Advanced technical skills in the hands-on delivery of reporting and analytics using Microsoft Azure, Synapse and 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; ability to articulate complex work to executives and translate complex data into meaningful insight for non-technical audiences.
- 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, and discipline.
- 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.
Qualifications And Experience:
- Bachelors 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; consistent delivery of strong outcomes/outputs and ROI.
- 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 Technical Lead employer: RES
At RES, we are committed to fostering a dynamic and inclusive work environment where every employee can thrive. As the world's largest independent renewable energy company, we offer competitive benefits, a strong focus on personal and professional development, and the opportunity to make a meaningful impact in the transition to zero carbon energy. Join us in a culture that values diversity, innovation, and collaboration, while working alongside inspiring colleagues in a global network dedicated to tackling some of the toughest challenges in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Reporting & Analytics Technical Lead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Reporting & Analytics Technical Lead
Some tips for your application 🫡
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RES, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RES. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RES
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RES!
✨Prepare for Case Studies
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.
