At a Glance
- Tasks: Lead the data strategy and governance for innovative data platforms.
- Company: Join Novia Financial plc, a forward-thinking financial services company.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Be part of a team that values innovation and strategic thinking.
- Why this job: Shape the future of data-driven decision making in a dynamic environment.
- Qualifications: Experience in data management and strong collaboration skills required.
The predicted salary is between 59400 - 72600 £ per year.
Novia Financial plc is seeking an Enterprise Data Manager to own the Group’s data strategy, architecture and governance for data platforms spanning data lake, warehouse and analytics tooling. You will lead the technical build, ensure data integrity and enable data-driven decision making across subsidiaries through strong data governance. The role combines strategic roadmapping with hands-on delivery, requiring collaboration with technology, operations and business stakeholders to drive adoption.
Enterprise Data Platform Lead in London employer: Novia Financial plc
Quanta Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the fast-paced financial services sector. Employees benefit from comprehensive professional development opportunities, a supportive environment for AI and infrastructure projects, and the chance to work with cutting-edge technology while making a meaningful impact on the organisation's transformation journey.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Platform Lead in London
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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 Novia Financial plc.
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We think you need these skills to ace Enterprise Data Platform Lead 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 Novia Financial plc, 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 Novia Financial plc. 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 Novia Financial plc
✨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 Novia Financial plc!
✨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.
