At a Glance
- Tasks: Lead data governance initiatives and enhance data quality in Capital Markets.
- Company: Join JLL, a global leader in real estate and investment management.
- Benefits: Flexible work options, professional growth opportunities, and personalised benefits.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Shape the future of real estate while making a meaningful impact.
- Qualifications: 6+ years in data governance or related fields; strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.
JLL supports the Whole You, personally and professionally. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work.
What this job involves:
This position will be responsible for Data Governance initiatives such as metadata management and performing analysis on Capital Markets data in order to propose quality rules and data standards that will improve overall Data Quality within the Capital Markets business. This role will work with business owners to define the needs. This is a business and data analyst role that requires the ability to quickly understand and explore various data models, evaluate, and document business processes, and communicate findings and recommendations with leadership. This role will also be responsible for providing detailed analysis and recommendations for data governance program enhancements to JLLT teams that support the business communities. This position will report to the Sr. Manager, Enterprise Data Governance of the CDO’s organization in JLLT.
What your day-to-day will look like:
- Interface with data platform owners, business line liaisons, data governance experts, and SMEs to document the current scope of activities, desired future state, and help develop the strategic roadmap to achieve those ambitions.
- Guide the data ownership teams to establish data governance on each service line.
- Propose data quality rules, profile the data, analyze current data quality results, and compare to business requirements to identify gaps and enhancement opportunities.
- Review existing data standards at various levels of the organization.
- Assist in classifying these standards, defining, and recording relevant attributes, and documenting the data standards landscape.
- Partner with Capital Markets product and engineering teams in the kickoff and management of various data ownership governing bodies.
- Develop business requirements documents for business needs and proposed enhancements to Data Governance components.
- Drive awareness and adoption of a data sharing culture.
- Partner with Enterprise Data Governance peers to provide training and education documents relating to data quality, data standards, and data stewardship.
- Responsible for documentation of business process and standard operating procedures for data life-cycle governance and stewardship activities.
Required Skills and Experience:
- Bachelor's degree or equivalent years of experience and 6+ years of professional business experience with a track record of accomplishments in data related fields, such as Enterprise Data Governance, Business Intelligence, Data Quality, or Data Management.
- Demonstrating knowledge of data governance principles and industry best practices.
- Understanding of core concepts involved in data (data quality, usage) and ability to understand how these concepts impact our business.
- Working collaboratively in a dynamic, ambiguous environment with multiple competing priorities which requires self-motivation, discipline, organization, and attention to detail.
- Strong project management and coordination skills with proven ability to meet deadlines, prioritize assignments and manage multiple projects.
- Understanding of Commercial Real Estate and Property Management industry.
- Experience in dealing with internal and external customers, and service providers.
- Must be able to manage competing priorities.
- Needs to be resilient; resolving conflicts quickly to achieve desired business results.
Senior Data Quality and Governance Analyst (UK based) in London employer: JLL
At JLL, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the dynamic field of workplace management. Our inclusive work culture encourages professional growth through diverse projects and networking opportunities, making it an ideal environment for those looking to advance their careers while contributing to impactful initiatives. Located in a vibrant area, our team enjoys not only competitive benefits but also the chance to be part of transformative projects with leading businesses worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Quality and Governance Analyst (UK based) in London
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We think you need these skills to ace Senior Data Quality and Governance Analyst (UK based) in London
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 JLL, 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 JLL. 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 JLL
✨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 JLL!
✨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.
