At a Glance
- Tasks: Shape data strategies and deliver key data management capabilities for leading organisations.
- Company: Dynamic consultancy focused on strategic data initiatives in regulated industries.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with exposure to high-profile clients.
- Why this job: Join a collaborative team and make a real impact on data transformation projects.
- Qualifications: Strong data management experience and excellent SQL skills required.
The predicted salary is between 80000 - 80000 £ per year.
We are looking for a Data Management SME to join a growing consultancy delivering strategic data initiatives for leading organisations within regulated industries. This is an excellent opportunity for someone passionate about helping businesses maximise the value of their data while ensuring it is governed, protected, and managed effectively.
The Role
You will work closely with business and technology stakeholders to deliver key data management capabilities, including data governance, data quality, metadata management, and data lineage. You'll play a key role in shaping data strategies, defining controls, and supporting the delivery of enterprise-wide data initiatives.
Key Requirements
- Strong experience in data management, data governance, and data quality
- Excellent SQL skills for data analysis, validation, and reporting
- Experience producing core data artefacts such as data glossaries, lineage, and quality rules
- Knowledge of governance tools such as Collibra, Microsoft Purview, Informatica, or similar
- Strong stakeholder management and communication skills
- Experience within financial services or other regulated environments is highly desirable
- Exposure to cloud data platforms and data architecture concepts would be beneficial
- Business or IT related degree is essential
This is a fantastic opportunity to join a collaborative consulting environment and work on high-profile, business-critical data transformation programmes.
Data Management SME/Consultant in London employer: Lynx Recruitment Ltd
Join a dynamic consultancy in London that champions a collaborative work culture, offering hybrid working arrangements and a competitive salary of up to £80,000 plus benefits. As a Data Management SME, you'll have the opportunity to work on impactful data initiatives within regulated industries, fostering your professional growth while contributing to meaningful projects that enhance data governance and quality.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management SME/Consultant in London
✨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 Lynx Recruitment Ltd!
✨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 Data Management SME/Consultant at Lynx Recruitment Ltd.
✨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 Lynx Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Management SME/Consultant at Lynx Recruitment Ltd, 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 Data Management SME/Consultant 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 Lynx Recruitment Ltd, 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 Lynx Recruitment Ltd. 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 Lynx Recruitment Ltd
✨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 Lynx Recruitment Ltd!
✨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.
