At a Glance
- Tasks: Leverage data analytics to optimise asset management and maintenance operations.
- Company: Global leader in facilities services with a focus on exceptional workplace experiences.
- Benefits: Competitive salary, career development, and a supportive culture.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: 5-7 years of data analysis experience, proficiency in Tableau, Power BI, SQL, and asset management.
- Other info: Join a collaborative team that values your unique contributions and supports your growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As a global leader in facilities services, we connect people and places to make the world work better. Whether directly or indirectly, you’ll play a vital role in supporting our placemakers in delivering exceptional workplace experiences for our customers. Together, we make space for people and businesses to thrive.
Main purpose of the position
We are seeking a highly skilled Senior Data Analyst to join our Global Asset Management team. This role is pivotal in leveraging data analytics to optimize asset management and maintenance operations. The successful candidate will be proficient in Tableau and Power BI, with strong expertise in data management principles, SQL, and/or Oracle, and a deep understanding of asset management principles. The Senior Data Analyst will drive data‑driven decision‑making to enhance operational efficiency, asset performance, and strategic planning for the Facility Management (FM) Maintenance team.
Key Expectations
- To work closely with our internal ISS stakeholders and customer to turn data into critical information and knowledge that can be used to make sound business decisions.
- Build an understanding of the business at a level of detail that enables this role to manage data analytical initiatives and use data to identify critical issues and put forward ideas to engineering operational teams to drive cost efficiencies, business process improvements, and innovation.
- Build strong working relationships within the Global Engineering Function, Global Knowledge Centre (GKC) and all key ISS and client business managers for the GKA Banking Sector client.
What You’ll Do
- Data Visualization and Reporting: Design, develop, and maintain interactive dashboards and reports using Tableau and Power BI to provide actionable insights into asset performance, maintenance schedules, and operational metrics.
- Asset Management Support: Apply asset management principles to analyze equipment lifecycle, maintenance costs, and downtime data, ensuring optimal asset utilization and reliability.
- Data Management: Implement and maintain robust data management processes, ensuring data accuracy, consistency, and security across FM systems.
- Database Querying and Analysis: Write complex SQL and/or Oracle queries to extract, transform, and analyze data from multiple sources to support maintenance strategies and operational goals.
- Data Integration: Collaborate with IT and FM teams to integrate data from various sources, including CMMS (Computerized Maintenance Management Systems), IoT and smart building technology platforms and other enterprise systems.
- Performance Optimization: Identify trends, anomalies, and opportunities for improvement in maintenance operations through advanced data analysis and predictive modelling.
- Stakeholder Collaboration: Partner with FM Maintenance team leaders, engineers, and other stakeholders to understand business needs and translate them into analytical solutions.
- Process Improvement: Recommend and implement process enhancements based on data insights to improve maintenance workflows, reduce costs, and enhance asset longevity.
- Training and Mentorship: Provide guidance and training to team members on data visualization tools, data management best practices, and asset management principles.
- Compliance and Reporting: Ensure all data practices comply with ISS organizational policies and industry standards, maintaining high standards of data governance.
Who You’ll Work With
- Client & ISS SLT
- Account/ Key Account Management/ organisation/ service line leads/ Local country teams
- Customer’s organisation
- Account & Global Big Data function
- Account & Global Operational Excellence function
Key Qualifications
- Experience: Minimum of 5-7 years of experience as a Data Analyst, with at least 3 years in a senior or lead role. Zen Master status is preferable.
- Proven experience in asset management principles, preferably within facilities management, maintenance, or related industries.
- Extensive experience in designing and deploying dashboards and reports using Tableau and Power BI.
- Strong background in data management principles, including data quality, ETL processes, and data governance.
- Hands‑on experience with SQL and/or Oracle for querying and managing large datasets.
Technical Skills:
- Advanced proficiency in Tableau and Power BI for data visualization and reporting.
- Expert knowledge of SQL and/or Oracle for data extraction, transformation, and analysis.
- Familiarity with CMMS platforms (e.g., Tririga and Maximo) is highly desirable.
- Experience with data integration tools and techniques (e.g., APIs, MS Fabric, Azure Cognitive services).
- Knowledge of predictive analytics or machine learning is a plus.
Certifications (preferred):
- Tableau Desktop Certified Professional or Power BI Data Analyst Associate.
- Asset Management certifications (e.g., IAM Certificate, CMRP, or equivalent).
- SQL or Oracle-related certifications.
Education:
- Bachelor’s degree in Data Science, Computer Science, Engineering, Business Analytics, or a related field. A Master’s degree is a plus.
- Zen Master status is preferable.
Personal Skills You Excel
- Strong analytical and problem‑solving skills with a keen attention to detail.
- Excellent communication skills to present complex data insights to non‑technical stakeholders.
- Ability to work collaboratively in a cross‑functional team environment.
- Proven leadership and mentorship abilities.
Why ISS
At ISS, we are more than just a service provider of cleaning, food, workplace and technical services, we are a partner in our customers’ success. By creating exceptional service moments and transforming workplaces into spaces where employees feel valued, engaged and productive, we enhance productivity and help our customers to attract talent and grow their businesses. This begins with our own people through training, career development, and a supportive culture – empowering them to deliver outstanding service. We know that when our people thrive, they create spaces where our customers’ employees and businesses thrive too.
ISS is a Place to Be You
Be who you are. Become what you want. Be part of something bigger. Become more. Become ISS.
How You’ll Apply
Apply directly via the link on this page by submitting a cover letter, CV and other relevant documents for the position you are applying for. We look forward to receiving your application as soon as possible.
ISS seeks to BE a place of belonging and CREATE places where every person is welcomed, embraced, and valued for exactly who they are. Places where people feel safe, respected, represented, and supported as their authentic selves.
Senior Data Analyst (FM Maintenance Team Support) in London employer: ISS Tech Team
Contact Detail:
ISS Tech Team Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (FM Maintenance Team Support) in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and any tips they might have for landing a role in the FM Maintenance Team.
✨Tip Number 2
Prepare for interviews by brushing up on your data skills. Be ready to discuss how you've used Tableau, Power BI, SQL, or Oracle in past roles. Show us how you can turn data into actionable insights!
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a friendly email expressing your enthusiasm for the role. It shows initiative and keeps you on our radar.
✨Tip Number 4
Showcase your problem-solving skills! Prepare examples of how you've tackled challenges in data management or asset optimisation. We love to see candidates who can think critically and drive improvements.
We think you need these skills to ace Senior Data Analyst (FM Maintenance Team Support) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with Tableau, Power BI, and SQL, and showcase any relevant projects that demonstrate your data management skills.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've used data analytics to drive decision-making and improve operations in previous positions.
Showcase Your Technical Skills: Don’t forget to mention your technical skills prominently. We want to see your proficiency in data visualisation tools and your understanding of asset management principles, so make those stand out!
Apply Through Our Website: Remember to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ISS Tech Team
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Tableau and Power BI, as these are crucial for the role. Prepare to discuss specific projects where you've used these tools to create impactful dashboards or reports.
✨Understand Asset Management Principles
Brush up on asset management concepts and be ready to explain how your analytical skills can optimise asset performance. Think of examples where your insights led to cost efficiencies or improved maintenance workflows.
✨Showcase Your SQL Skills
Be prepared to demonstrate your SQL and/or Oracle expertise. You might be asked to solve a problem on the spot, so practice writing complex queries that extract and transform data effectively.
✨Communicate Clearly with Stakeholders
Since collaboration is key, think about how you can present complex data insights to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work.