At a Glance
- Tasks: Manage data reporting and collaborate with teams to ensure accuracy and consistency.
- Company: Join ISS, a leading workplace and facility management company focused on people.
- Benefits: Exciting career opportunities, commitment to diversity, and support for personal growth.
- Other info: Inclusive workplace with a focus on professional development and community support.
- Why this job: Make a real impact by transforming data into meaningful insights for stakeholders.
- Qualifications: Strong data analysis skills, advanced Excel, and experience with Power BI and Tableau.
The predicted salary is between 30000 - 40000 £ per year.
We are looking for a detail-oriented Data Analyst with strong reporting and data management capabilities who can contribute to maintaining high-quality MI outputs while supporting ongoing transformation initiatives. This individual will play a critical role in ensuring data accuracy, consistency, and effective reporting delivery.
Key Responsibilities
- Develop, manage, and maintain reporting outputs and a central SharePoint-based Document Management System (DMS).
- Collaborate with operational teams, BI, and FMS teams to align reporting requirements.
- Ensure data accuracy, consistency, and adherence to metadata and data standards.
- Establish and maintain processes for effective collection and storage of Management Information (MI).
- Produce monthly KPI reports and other regular reporting outputs for stakeholders.
- Build dashboards and data visualisations using Power BI, Excel, and Tableau.
- Administer access controls for SharePoint, Microsoft Teams, and other systems including Insight and Tririga via Jira.
- Manage and respond to data queries and reporting requests from internal and client stakeholders.
- Design and implement automated workflows using Power Automate, supporting continuous improvement initiatives.
Professional and Personal Competencies/Qualifications
- Strong background in data analysis and reporting.
- Advanced Excel skills, including macros, advanced formulas, and XLOOKUPs.
- Experience using SharePoint and Excel as reporting tools.
- Experience with Tableau for data extraction and analysis.
- Ability to analyse large datasets and produce meaningful insights.
- Strong PowerPoint skills with experience creating professional reporting packs.
- A highly analytical and detail-oriented approach.
- Ability to manage complex datasets and deliver high-quality reporting.
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.
StudySmarter Expert Advice🤫
We think this is how you could land MI & Data Co-ordinator
✨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
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 MI & Data Co-ordinator at ISS.
✨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 ISS.
✨Apply Directly through Our Website
When you find a suitable opening like MI & Data Co-ordinator 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 MI & Data Co-ordinator
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.
