At a Glance
- Tasks: Lead the design and implementation of analytical data models for impactful decision-making.
- Company: Join Ofgem, a key player in the UK's energy system transformation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Shape the future of data usage in a vital organisation driving innovation.
- Qualifications: Experience in analytics or data engineering with strong skills in Azure tools.
The predicted salary is between 59400 - 72600 £ per year.
Successful candidates may be based in any of our office locations – Cardiff, London or Glasgow. We especially welcome applicants from Cardiff and Glasgow.
Hybrid working: 1 day per week in the office (20%)
Across government, analytics engineering is playing an increasingly important role in transforming how organisations use data to inform decisions, deliver insight and enable digital services.
By structuring, modelling and optimising data for analysis, analytics engineers ensure that data is accessible, reliable and aligned with business needs.
Ofgem plays a vital role in the UK’s energy system, protecting consumers and enabling a more secure, fair and sustainable energy future, and strong analytics engineering capability is central to unlocking the value of data.
Ofgem is on an ambitious transformation journey.
Within the Digital, Data and Security Services (DDSS) directorate, we are building modern data platforms and analytical capabilities that support data-driven decision-making across the organisation.
As our data maturity grows, there is an increasing need to ensure that data is structured effectively, enabling analytics, AI and business intelligence at scale.
- As a
- Lead Analytics Engineer
, you will play a key role in shaping how data is structured, modelled and consumed across Ofgem.
You will lead the design and implementation of analytical data models, working closely with stakeholders and multidisciplinary teams to ensure data supports both operational and strategic needs.
You will define standards, drive best practice and contribute to the continuous improvement of data transformation and modelling processes.
This is a senior, hands‑on technical role that combines data engineering, analytics and stakeholder engagement.
You will work across complex data environments, ensuring that data is optimised for use while maintaining quality, consistency and governance.
You will be responsible for
- Leading the design, build and maintenance of analytical data models that support reporting, analytics, AI and business intelligence.
- Working with stakeholders to understand business processes and translate requirements into effective data structures and models.
- Developing and maintaining data transformation standards across platforms such as Azure Data Factory, Azure Synapse and related technologies.
- Ensuring data quality, consistency and interoperability, enabling reuse and effective analysis across the organisation.
- Collaborating with data engineers, data scientists and analysts to ensure alignment between platform design and analytical needs.
- Driving continuous improvement in data modelling, transformation and analytics engineering practices.
- Establishing and maintaining standards for documentation, ensuring transparency and maintainability of data solutions.
- Supporting metadata management, ensuring that data assets are discoverable, well‑defined and effectively governed.
- Identifying and resolving issues within data pipelines and models, implementing preventative measures and optimisations.
- Providing technical leadership and guidance to colleagues, promoting best practice and building capability across teams.
We are looking for
A technically strong and analytically minded professional who can lead the development of robust, scalable data models in a modern cloud environment.
You will bring experience in analytics engineering or data engineering, alongside the ability to work closely with stakeholders to deliver practical solutions.
You may come from a data engineering, analytics or BI background, but you will demonstrate:
- Experience designing and optimising complex data models in a cloud‑based environment
- Strong experience with tools such as
- Azure Data Factory, Azure Synapse Analytics or equivalent platforms
- Experience working with programming languages such as
- Python and SQL
- Knowledge of data transformation, modelling and metadata management practices
- The ability to balance technical design with business needs and stakeholder requirements
- Strong communication skills, with the ability to translate technical concepts into clear, actionable insights
- Experience in government or regulated environments, and in supporting analytics, AI or business intelligence use cases, would be beneficial.
This is an opportunity to play a key role in shaping how Ofgem uses data to support decision-making and innovation.
You will ensure that data is structured and accessible in a way that enables insight, driving value across the organisation at a time when data capability has never been more important.
Lead Analytics Engineer in Cardiff employer: Ofgem
Ofgem is an exceptional employer that prioritises a collaborative and inclusive work culture, empowering employees to tackle complex regulatory challenges in the energy sector. With a strong focus on professional development and support, staff are encouraged to grow their skills while contributing to impactful government energy programmes. Located in the UK, Ofgem offers a unique opportunity to be part of a mission-driven organisation dedicated to fairness and effectiveness in energy regulation.
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We think this is how you could land Lead Analytics Engineer in Cardiff
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We think you need these skills to ace Lead Analytics Engineer in Cardiff
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 Ofgem, 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 Ofgem. 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 Ofgem
✨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 Ofgem!
✨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.
