At a Glance
- Tasks: Manage data migration projects and liaise with clients to ensure smooth implementation.
- Company: Join a leading fintech firm known for its innovative wealth management technology.
- Benefits: Enjoy competitive pay, top-notch training, and a casual start-up vibe.
- Other info: Great opportunity for career growth in a dynamic and supportive environment.
- Why this job: Make a real impact in the financial tech space while developing your skills.
- Qualifications: Experience in data analysis, strong SQL, Excel, and VBA skills required.
The predicted salary is between 58500 - 71500 £ per year.
Data Migration Analyst Quant Capital is urgently looking for a Data Migration Analyst to join our high profile client.
Our client is a current member of the fintech50 and proud to be known as best in disruptive wealth management technology.
It is a truly cutting edge tech firm with 100 people and a dev team of 25.
The atmosphere is casual with a start-up feel although the business is the world’s largest dedicated wealth tech business (in terms of tech and market share).
The Data Migration Analyst will be responsible for liaising with clients, project manage and undertake the implementation and configuration by clients main product.
Ideally the candidate will have some experience as a Business Analyst / Data Analyst in Financial Services and must have strong SQL / Excel / VBA and will need to be big on attention to detail.
This role is a client facing role, therefore the candidate will need to have good communication skills and experience in dealing with clients directly.
Undertake responsibility for tracking, monitoring and resourcing the data extraction tool, data migration process and their functions Work with the On-boarding Team throughout the implementation process ensuring configuration requirements are fully captured and configured in preparation for the client’s Go-Live date Work with Sales Team and assist with the acquisition of new accounts Work with the On-boarding Team to ensure data migration requirements are fully captured and understood, helping with the cleansing of client data when required Work with Account Management Team keeping them abreast of new acquisitions Liaise with Service Delivery to ensure all scripts used are current and fulfil requirements for Data Migrations and Implementations Research and undertake necessary business analysis to help with the design and creation of new data extracts and data import services Creation of SQL scripts to assist with further data cleansing The role offers both the ability to work technically as well as work with the leadership team in shaping how the business uses data from its clients and the market.
Graduate Data Analysts must have: Proven experience in technology Experience of Business Analysis SQLExcel VBAStrong A levels1st or 2:1 Degree in a Business / Computing / Maths or Economicsbased subject This is a unique opportunity for someone to expand further into financial technology.
You should be driven and interested to gain some serious financial experience.
This is a bleeding edge business so if you can make a usability case they will buy it.
My client offers one of the best training and development packages in the market, all inclusive.
My client is based near Kingston Upon Thames Graduate, Data, BI, SQL, Business Intelligence, Business Analysis, Data Warehousing, Business Analyst
Data Migration Analyst in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
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We think this is how you could land Data Migration Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Migration Analyst 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 Quant Capital, 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 Quant Capital. 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 Quant Capital
✨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 Quant Capital!
✨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.
