At a Glance
- Tasks: Analyse data, identify quality issues, and support stakeholders in optimising data management.
- Company: Join a leading global real estate services firm with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Great career pathway into data governance and exposure to global transformation projects.
- Why this job: Make a real impact on data governance while collaborating with diverse teams across EMEA.
- Qualifications: Degree in Business, Data Analytics, or related field; strong Excel skills required.
The predicted salary is between 35000 - 45000 £ per year.
Role Purpose
To support the delivery and ongoing optimisation of Colliers' enterprise data management initiatives by analysing data, identifying quality issues, supporting stakeholders, and driving continuous improvement across data processes and governance activities. The role will act as a bridge between business and technology teams, helping to translate business requirements into practical solutions while promoting best practice data management across EMEA.
Key Responsibilities
- Analyse and validate data from multiple sources to identify quality issues, inconsistencies and trends.
- Investigate recurring data issues and recommend practical solutions.
- Support data cleansing, validation and ongoing monitoring activities.
- Produce analysis and reporting to support operational and project requirements.
- Support the maintenance and governance of enterprise reference and master data.
- Assist with implementation and adoption of data governance standards and processes.
- Contribute to development of enterprise data management practices across EMEA.
- Support management of data-related documentation, controls and procedures.
- Build relationships with stakeholders, data stewards, project teams and technology colleagues.
- Provide guidance to users on data-related processes and governance requirements.
- Assist with stakeholder training, communications and adoption activities.
- Act as point of contact for data-related queries and support requests.
- Identify opportunities to improve data quality, controls and business processes.
- Work with technology and business teams to implement agreed improvements.
- Support issue resolution and root-cause analysis activities.
- Contribute ideas and recommendations that enhance data management across the organisation.
- Support enterprise data and transformation projects across EMEA.
- Assist with onboarding new countries, systems and business processes into data governance frameworks.
- Collaborate with project teams to ensure data requirements are understood and delivered.
Key Competencies
- Strong analytical thinking, problem-solving, pattern recognition and ability to interpret information.
- Excellent communication skills for technical and non-technical audiences.
- Proactive learning, curiosity and adaptability in fast-paced environments.
- High attention to detail and commitment to quality standards.
- Team-oriented collaboration across functions and geographies.
- Self-starter, ownership of tasks and initiative to propose solutions.
Qualifications
Essential
- Degree or equivalent in Business, Data Analytics, Information Management, Finance, Mathematics, Technology or a related discipline.
- Strong Microsoft Excel skills with data manipulation, analysis and reporting.
- Excellent written and verbal communication skills.
- Demonstrated interest in data, analytics or technology.
- Strong organisational skills and attention to detail.
Desirable
- Experience in data, reporting, administration, finance, operations or analytical roles.
- Exposure to data governance, data quality or master data management activities.
- Experience in professional services, corporate or technology environments.
- Knowledge of SQL, Power BI or other analytical tools.
- Understanding of enterprise systems and business process improvement methodologies.
Career Opportunity
This role provides an excellent pathway into enterprise data governance and offers exposure to regional and global stakeholders, large-scale transformation programmes and future opportunities within Data Governance, Enterprise Data Management, Business Analysis and Data Strategy.
EMEA Data Governance Analyst employer: Colliers
Colliers is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for EMEA Data Governance Analysts to thrive. With a strong commitment to employee growth, the company offers extensive training and development opportunities, enabling staff to enhance their skills while contributing to impactful data management initiatives across the region. Located in a dynamic environment, employees benefit from engaging with diverse stakeholders and participating in large-scale transformation projects, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land EMEA Data Governance Analyst
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We think you need these skills to ace EMEA Data Governance 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Colliers. 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 Colliers
✨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!
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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
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✨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.
