At a Glance
- Tasks: Lead analytics strategy, turning complex data into clear insights for impactful decision-making.
- Company: Join SGN, a pioneering energy company transforming the gas industry.
- Benefits: Competitive salary, enhanced maternity leave, life assurance, and retail discounts.
- Other info: Inclusive workplace valuing diverse backgrounds and perspectives.
- Why this job: Shape the future of energy delivery while driving a data-driven culture.
- Qualifications: Proven experience in leading analytics teams and strong skills in data visualisation tools.
The predicted salary is between 95000 - 105000 £ per year.
This role will lead SGN's DataOps and Analytics & Insights capability to deliver trusted insight and performance reporting that drives operational, regulatory and strategic outcomes. We deliver safety, warmth, and comfort to homes and businesses. Every role, whether in the office or on the front line, plays a key part in this mission.
Here's how you will contribute:
- Define how data drives decisions across the organisation.
- Shape and deliver the enterprise analytics strategy, defining KPIs and a clear roadmap aligned to business priorities and regulatory commitments.
- Own the analytics demand pipeline, prioritising work based on value, maintaining a robust backlog, and tracking measurable business benefits across dashboards, reporting and insight.
- Lead the design and delivery of high-impact executive, regulatory and operational dashboards with Power BI, ensuring clear storytelling, quality assurance and stakeholder sign-off.
- Drive consistency and trust in data by standardising metrics, definitions and semantic models, while simplifying the reporting landscape and eliminating duplication.
- Champion a data-driven culture by enabling self-service, improving data literacy, and establishing best practice through frameworks, templates, training and communities of practice.
- Collaborate with Information Management and key programme teams (e.g. Salesforce, Oracle Fusion) to translate business needs, align data standards, and agree SLAs for data refresh, quality and issue resolution.
What you will need:
- Proven experience leading analytics or BI teams, ideally within complex or regulated environments.
- Strong expertise in reporting and data visualisation tools (such as Power BI), with a solid understanding of data modelling and KPI design.
- Experience managing an analytics portfolio — prioritising work based on value and delivering measurable business outcomes.
- Confident communicator with the ability to turn data into clear, compelling stories and engage effectively with senior stakeholders.
- Good understanding of data platforms and modelling approaches, with experience working alongside data governance and architecture teams.
Not sure you meet every requirement? Research shows some people – particularly women and those from underrepresented backgrounds – may hesitate to apply unless they meet every criteria. At SGN, we value diverse backgrounds, experiences and perspectives. If this role interests you but you're not sure you tick every box, we'd still love to hear from you. You might be just who we're looking for – now or in the future.
Why SGN?
SGN leads pioneering research and development for a net-zero energy system. Our innovative technologies are transforming the gas industry while keeping people safe and warm. We are an award-winning employer, including CCA Gold Awards for Great Places to Work and Inclusivity and Accessibility, and a proud Gold member of the Armed Forces Covenant.
If you require any accommodations or support during the application process, reach out to us. We're here to help ensure an inclusive and accessible experience for everyone.
With over 85 years of experience behind us, we're leading the way in energy delivery. SGN manage the network that distributes natural and green gas to 5.9 million homes and businesses across Scotland and the south of England. Whoever your supplier is, our pipes deliver gas safely, reliably and efficiently to every one of our customers.
Head of Analytics and Insights in Moffat employer: Scotia Gas Networks
SGN is an exceptional employer that prioritises the well-being and development of its employees, offering a hybrid work model and a comprehensive benefits package including enhanced family leave and a joint-contribution pension scheme. With a strong commitment to safety and sustainability, SGN fosters a collaborative work culture where every team member plays a vital role in delivering energy solutions while promoting environmental responsibility and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Analytics and Insights in Moffat
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Scotia Gas Networks!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Analytics and Insights at Scotia Gas Networks.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Scotia Gas Networks.
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When you find a suitable opening like Head of Analytics and Insights at Scotia Gas Networks, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Analytics and Insights in Moffat
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 Scotia Gas Networks, 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 Scotia Gas Networks. 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 Scotia Gas Networks
✨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 Scotia Gas Networks!
✨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.
