At a Glance
- Tasks: Lead data migration and systems implementation for a major project in London.
- Company: Join Madison Hive, a forward-thinking company focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Be at the forefront of a major system transition and make a real difference.
- Qualifications: Experience in data migration and strong communication skills required.
The predicted salary is between 50000 - 60000 £ per year.
Madison Hive is seeking a Data Migration & Systems Implementation Specialist to lead a hands-on, delivery-focused role during a major MRI Horizon implementation in London.
You will work with finance, property management, and an external MRI partner to ensure clean data migration and a smooth transition to the new system.
Key tasks include data cleansing, data mapping, UAT coordination, and post go-live support.
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Data Migration & Horizon Implementation Lead in London employer: Madison Hive
As a leading real estate investment and property management business in London, our client offers an exceptional work environment that fosters collaboration and innovation. Employees benefit from a supportive culture that prioritises professional growth, with ample opportunities for career advancement within a diverse portfolio of commercial, residential, and hospitality assets. Joining this team means being part of a dynamic organisation that values your contributions and encourages you to thrive in the exciting world of real estate law.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration & Horizon Implementation Lead in London
✨Get Involved in Data Science Meetups
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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 Madison Hive.
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We think you need these skills to ace Data Migration & Horizon Implementation 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 Madison Hive, 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 Madison Hive. 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 Madison Hive
✨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 Madison Hive!
✨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.
