At a Glance
- Tasks: Lead asset data governance and ensure compliance while driving continuous improvement.
- Company: Join ISS, a world-leading workplace and facility management company.
- Benefits: Exciting career opportunities, inclusive culture, and commitment to personal development.
- Other info: Diverse and inclusive workplace with growth opportunities for everyone.
- Why this job: Make a real impact in asset management and help shape the future of facilities.
- Qualifications: Experience in asset management and strong organisational skills required.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for a highly organised and detail-oriented professional who can drive data quality, compliance, and lifecycle value realisation. The role also focuses on producing dashboards to support decision-making and embedding continuous improvement within asset data management practices.
Key Responsibilities
- Lead, attend, and chair asset data change governance, technical, and operational meetings, ensuring effective decision-making, risk management, and compliance.
- Manage, coordinate, and control asset data changes within CMMS/CAFM systems in line with governance, change control, and audit requirements.
- Validate and implement asset changes in accordance with maintenance standards, statutory requirements, and approved asset information.
- Own and maintain the integrity, accuracy, and suitability of the asset register across asset types, conditions, and lifecycle stages.
- Manage reconciliation activities across systems, including dependency checks for consistency, completeness, and alignment.
- Oversee and assure User Acceptance Testing (UAT) for asset data changes, ensuring auditable evidence is maintained.
- Manage the operational impact of asset changes, ensuring alignment with work orders and timely stakeholder communication.
- Ensure full governance and control of asset changes, maintaining documentation, approvals, traceability, and auditability within system controls.
Professional and Personal Competencies/Qualifications
- Proven management experience within asset management, FM, or maintenance environments, including knowledge of PPM regimes and asset data.
- Expertise in coordinating and controlling asset data changes within CMMS/CAFM/EAM systems in a structured and auditable manner.
- Strong organisational skills with the ability to manage high-volume, structured data with accuracy and audit discipline.
- Confident collaborator, able to engage effectively with technical, operational, and governance stakeholders.
- Methodical and risk-aware, with a strong quality-driven approach.
The Company
ISS is a world-leading workplace and facility management company, connecting people and places to make the world work better. Working with customers day by day, side by side, we understand every aspect of the user experience. Through a unique combination of intelligent solutions, high standards and people who care, we help our customers achieve their purpose, whether it’s hospitals healing patients, businesses producing the next great innovation, or airports bringing passengers home to their families.
ISS is committed to doing business the right way, taking its corporate responsibility very seriously. Our passion is people. We offer you a challenging and exciting career in an organisation with people at its heart. In ISS, everyone has the opportunity to develop, grow and make a difference.
ISS is proud to be a diverse and inclusive employer. ISS welcomes all applicants regardless of age, disability, gender identity or gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, sexual orientation or educational background. We are proud to be a Gold Employer Recognition Scheme (ERS) award holder and a signatory of the Armed Forces Covenant, recognising our commitment to supporting veterans, reservists, and military families. Through our Joint Forces Programme, we provide mentoring and support to members of the Armed Forces community and their spouses as they transition into civilian careers. We are a Disability Confident Committed (Level 2) employer, proudly supporting and promoting inclusive hiring practices in line with the UK government’s Disability Confident scheme. Our passion for inclusivity and diversity makes ISS a more creative, productive and happy place to work.
Lead Asset Change Analyst employer: ISS
At ISS, we pride ourselves on being a world-leading workplace and facility management company that values people at its core. Our commitment to employee growth is evident through our diverse and inclusive work culture, where every team member has the opportunity to develop their skills and make a meaningful impact. With a focus on service excellence and a strong safety culture, we offer a rewarding environment for Key Account Managers to thrive in, all while contributing to the success of our clients across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Asset Change Analyst
✨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 ISS!
✨Show Off Your Projects
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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 ISS.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Asset Change Analyst at ISS, 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 Lead Asset Change Analyst
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 ISS, 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 ISS. 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 ISS
✨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 ISS!
✨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.