Do you want to work to make Power for Good?
We're the world's largest independent renewable energy company. We're guided by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.
We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.
RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.
Our competitive package offers a wide range of benefits and rewards.
Job Summary
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 and, which will serve as the single source of truth for our enterprise. Your mission: 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 to implement and deliver robust global data working with data engineers.
Accountabilities
- Lead the design and delivery of trusted data, technical specifications and data models across Azure, Fabric and Purview to provide trusted, integrated, secure and scalable data for consumption, including prioritisation, standards, delivery approach and adoption metrics.
· Work with data engineers to define data requirements, transformation logic, joins, keys, hierarchies and reconciliation rules, ensuring traceability from requirements to semantic model to published certified data/reports. · Partner with stakeholders to shape use cases, success measures and iterative plans.
- Be at the forefront of the latest tools, technologies and techniques in data, reporting and analytics.
- Deliver AI-enabled analytics and data science.
Please note that this is not a traditional BI/reporting role. It is focussed on delivering quality data and analytics analytics, including using modern AI tools. I am not looking for a product manager, its a technical delivery role.
Skills
- Expertise in semantic data modelling, including physical, dimensional and logical. Highly skilled in semantic modelling and how to build consistent metrics and reporting layers. Deep understanding of BI and semantic modelling patterns and how they fit into enterprise architecture.
- Advanced technical skills in the hands-on delivery of using Microsoft Azure and other modern tools to deliver quality data through a data lakehouse.
- Strong data visualisation and UX principles; ability to critique and uplift data and reporting quality.
- Leadership, coaching and skills.
- Working knowledge and skills in data science, AI and machine learning applications in analytics and reporting, including responsible use controls.
- 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 and analytics, with a track record of delivering secure, high-value data.
- Experience in leadership and line management
- Track record delivering executive certified data with high adoption and measurable business impact. Consistent delivery of strong outcomes/outputs and ROI.
- Extensive Experience implementing Microsoft Azure and self-service data platform frameworks at scale through the consumption layer.
- Experience in data standardization frameworks for harmonizing data definitions, taxonomies, and formats across regions. Must have worked previously in a technical data team, working with a Chief Data Officer and have mentored/led other members of staff.
- Experience in delivering your own data science, advanced analytics and AI-assisted analytics capabilities and integration with governed data platforms.
- Experience in working closely with data engineers, architects and business domain leads to design and deliver technical specifications and model design. Able to deliver KPIs, measures, dimensions and reusable business logic.
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. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
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