At a Glance
- Tasks: Develop and lead data analytics programs to drive business insights and performance improvements.
- Company: Global leader in facilities services, connecting people and places for better workplace experiences.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and excellent career advancement opportunities.
- Why this job: Be a vital link in transforming data into actionable insights that impact global accounts.
- Qualifications: 3-5 years in data analysis, experience with Tableau or PowerBI, strong analytical skills.
The predicted salary is between 35000 - 45000 £ 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/Key Expectations
We are currently looking for a GKA Analytics Partner to join our Advanced Analytics, Data & AI (ADA) Team. You will act as the ‘vital link and business enabler’ between BI & AI capabilities/solution and its business objectives delivering concrete value to the business. You will play a pivotal role in instilling the right data culture in our global key accounts and driving the account objectives within the analytics area.
What You’ll Do
- Develop Analytics & Data programs – to ensure all stakeholders can effectively interpret and utilize Data for decision-making and performance improvement.
- Lead benchmarking projects to generate actionable insights from Data by collaborating closely with the business.
- Ensure Data quality and accuracy to support robust benchmarking, KPI assessment, and quarterly management fee at risk reporting.
- Own account Master Data.
- Develop account Analytics & Data Roadmap.
- Develop Data Literacy on the account, at all levels of the organisation.
- Develop account Systems Roadmap.
- Maintain consistent business systems usage and expand adoption in line with the account value proposition.
- Ensure global alignment and governance in the use of business systems and analytics.
- Translate the digital technology vision and roadmap into actionable plans in collaboration with client and ISS leadership.
- Able to manage projects end to end.
Who You’ll Work With
- Global BI Analysts from across accounts and the wider ADA team.
- System owners.
- Global Account Directors.
- Operational Performance Lead.
- Service Leads.
- Country Leads.
- Site Leads.
- Customers (Client facing role).
Key Qualifications
- 3-5 years of proven experience in Business Intelligence reporting/Data Analysis required.
- Experience using Tableau and similar analytics tools such as PowerBI desired.
- Strong analytical and problem-solving skills.
- Experience collaborating with Global Clients/International Stakeholders.
- Must be able to communicate fluently in English.
- Bachelor’s Degree in Business with Data Analytics/Math/Engineering or another similar field is preferable but not a must.
- Experience in the Facility Management industry is preferable.
Personal Skills You Excel
- Ability to translate business requirements into effective technology and Data solutions.
- Customer-focused, understanding of site operations and client needs.
- Proactive and solutions-oriented, with a focus on continuous improvement.
- Collaborative and inclusive, working effectively with diverse teams across countries and functions.
- Strong stakeholder management and advisory skills; able to operate at all levels.
- Strategic and visionary mindset, able to see the big picture.
Data Analyst employer: ISS Tech Team
As a global leader in facilities services, we pride ourselves on fostering a dynamic work culture that prioritises collaboration and innovation. Our employees benefit from comprehensive growth opportunities, including access to advanced analytics training and the chance to work with international stakeholders, all while contributing to meaningful projects that enhance workplace experiences. Located in the UK and Poland, we offer a vibrant environment where your contributions directly impact our clients and communities, making us an exceptional employer for those seeking a rewarding career in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
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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 Tech Team.
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We think you need these skills to ace Data 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 Tech Team, 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 Tech Team. 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 Tech Team
✨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 Tech Team!
✨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.
