At a Glance
- Tasks: Maintain and improve asset data quality while collaborating with engineering and operational teams.
- Company: Join SGN, a leader in energy delivery with a commitment to innovation and safety.
- Benefits: Competitive salary, hybrid work, pension contributions, enhanced family leave, and wellness programmes.
- Other info: Diverse and inclusive workplace with opportunities for career growth and development.
- Why this job: Make a real impact on energy systems while developing your skills in a supportive environment.
- Qualifications: Experience with asset data and strong attention to detail; GIS knowledge is a plus.
The predicted salary is between 44400 - 55500 £ per year.
We are seeking an Asset Data Officer to support the management, quality and governance of asset data across our network. Working within the Asset Engineering team, you will help ensure that asset information is accurately captured, maintained and available to support operational, engineering and regulatory requirements.
In this role, you'll be responsible for maintaining asset records, validating and updating data within core asset management systems, and supporting the administration of key asset data processes. You'll work closely with engineering, operational and project teams to ensure asset information remains accurate, consistent and compliant with company standards. Here’s how you will contribute…
- Update and maintain asset data within our asset management systems following maintenance activities and construction projects.
- Monitor and improve data quality by investigating and correcting inaccuracies in asset records.
- Produce reports and technical data outputs to support operational and engineering decision-making.
- Support the continuous improvement of asset management systems, processes and data governance.
- Collaborate with stakeholders across the business to ensure asset information remains accurate, consistent and compliant.
What you will need:
- Experience working with asset, engineering, operational or technical data, with strong attention to detail and a focus on data quality.
- Experience maintaining records and data within business, asset management or maintenance systems.
- Good understanding of GIS and spatial data systems, with experience using mapping-based software to manage and analyse asset information.
- Ability to interpret processes, procedures and technical documentation, ensuring activities are completed accurately and consistently.
- Strong organisational and administrative skills, with the ability to manage and prioritise multiple tasks.
- Good analytical and problem-solving skills, with the ability to identify and resolve data issues.
Desirable:
- A degree, apprenticeship or equivalent experience in Engineering, Geography, GIS, Data Analytics, Computer Science, Information Technology or a related discipline.
- Experience working within utilities, infrastructure, engineering, construction or asset-intensive environments.
- Experience using GIS platforms such as ArcGIS or similar spatial data systems.
- Understanding of asset management, maintenance or engineering processes.
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.
SGN is a leader in pioneering research and development toward a net-zero energy system. Our cutting-edge technologies and innovative thinking are driving change in the gas industry, all while keeping people safe and warm.
Asset Data Officer in Edinburgh employer: Scotia Gas Networks
SGN is an exceptional employer, offering a supportive and innovative work environment for Emergency Gas Responders in Aldershot. With a strong focus on employee development, competitive salaries, and comprehensive benefits including enhanced family leave and a joint-contribution pension, SGN prioritises the well-being of its staff while leading the charge towards a net-zero energy future. Join a team that values inclusivity and provides opportunities for career progression, all while ensuring the safety and comfort of millions of customers.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Data Officer in Edinburgh
✨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!
✨Show Off Your Projects
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 Asset Data Officer at Scotia Gas Networks.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like Asset Data Officer 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 Asset Data Officer in Edinburgh
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.
