At a Glance
- Tasks: Develop and maintain data products using Python and SQL to support market monitoring.
- Company: Ofgem, Great Britain's independent energy regulator, driving change in the energy sector.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and continuous improvement.
- Why this job: Make a real impact on consumer protection and contribute to a fairer energy system.
- Qualifications: Strong technical skills in data engineering, analytics, and experience with large datasets.
The predicted salary is between 60000 - 87100 £ per year.
Ofgem is working at the forefront of the fight to protect consumers and combat unfair practices in Britain’s energy markets, using data, technology and intelligence to strengthen oversight of a rapidly evolving sector. We’re looking for a Senior Market Intelligence Analytics Engineer to join us and help deliver the technical foundations that support smarter decision-making, stronger market insight and a fairer energy system.
Ofgem is Great Britain’s independent energy regulator. We’re at the forefront of change across the energy sector, driving toward Net Zero whilst protecting energy consumers, especially vulnerable people. We’re offering a permanent opportunity with the chance to work on high-profile and business-critical data initiatives that directly support our consumer protection, Net Zero and economic growth objectives.
This is an exciting role for someone who enjoys solving complex data challenges and transforming large volumes of information into valuable intelligence that informs regulatory decisions. Working within a specialist area of Ofgem, you’ll contribute to the development of reliable, high-quality data products, analytical tools and technical capabilities that support market monitoring and surveillance activities.
The role offers significant scope to influence how data is managed, transformed and used, while helping drive improvements in efficiency, consistency and insight across a wide range of analytical outputs. We’re looking for someone with strong technical expertise in data engineering and analytics, with experience developing reliable, scalable data solutions and transforming complex data into meaningful insights.
You’ll be confident translating business needs into practical technical outcomes, working with large and varied datasets, and improving tools, processes and reporting capabilities to support informed decision-making. Alongside meaningful and impactful work, you’ll benefit from flexible working arrangements, including full-time, part-time and flexible working options.
You’ll join a collaborative environment where knowledge sharing, innovation and continuous improvement are valued, giving you the opportunity to shape technical approaches, influence best practice and contribute to the development of wider team capability. We have a critical purpose to strengthen market intelligence and data-driven oversight of wholesale energy markets. Join us in helping combat market risks, improve transparency and ensure the energy market functions fairly for consumers as Great Britain progresses towards a cleaner, more secure energy future.
Key Responsibilities- Develop, test and maintain Python and SQL data products, data-quality processes and market monitoring tools.
- Proactively gather and fulfil requirements for improved data products and tools.
- Oversee the preparation of data for dashboards and build Power BI outputs to support monitoring and analysis.
- Improve data pipelines, data tools, frameworks and processes to increase reliability, performance, features and capabilities.
- Drive good testing, validation and documentation practices.
- Share knowledge with colleagues, provide informal mentoring and contribute to team capability building.
- Proactively drive the adoption of Databricks for our data needs.
- High quality SQL and Python code for data pipelines, data analysis and data-quality to support market monitoring and market surveillance.
- Well-defined requirements translated into deliverable technical work with clear assumptions and outputs.
- Dashboards and prepared datasets that support colleagues to interpret and act on data.
- Evidence of capability building through mentoring, knowledge sharing or improved team documentation.
- Strong experience implementing performant and maintainable Python and SQL solutions to clean, validate, transform and analyse data held in a range of formats.
- Experience translating business requirements into technical solutions and reproducible outputs.
- Experience working with large datasets to automate the production of accurate, robust outputs.
- Experience improving technical processes, frameworks or tools, including testing and validation approaches.
- Experience building and maintaining dashboards in Power BI.
- Ability to define and follow requirements and deliver to agreed frameworks, standards and deadlines.
- Knowledge of wholesale energy markets or other regulated markets.
- Strong communication skills with the ability to refine requirements, explain technical issues clearly and work with a range of stakeholders.
Senior Market Intelligence Analytics Engineer in Cardiff employer: Ofgem
Ofgem is an exceptional employer, offering a dynamic and collaborative work environment where innovation and knowledge sharing are at the forefront. With flexible working arrangements and a commitment to employee growth, you will have the opportunity to engage in meaningful projects that directly impact consumer protection and the transition to Net Zero. Join us in shaping the future of Britain's energy markets while enjoying a supportive culture that values your contributions and fosters professional development.
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We think this is how you could land Senior Market Intelligence Analytics Engineer in Cardiff
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We think you need these skills to ace Senior Market Intelligence 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!
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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!
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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.
