At a Glance
- Tasks: Lead investment data analysis and support major data transformation projects.
- Company: Dynamic London-based investment manager with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative team and contribute to exciting data governance initiatives.
- Why this job: Make a real impact in the finance sector while developing your data skills.
- Qualifications: Experience in investment management and strong data analysis skills required.
The predicted salary is between 40500 - 49500 £ per year.
Our client, a London based investment manager, is hiring a Senior Investment Data Business Analyst into its data team as part of a major, multi-year data transformation.
This is a hands-on senior data analyst position. You will lead investment data analysis across both the transformation programme and BAU, and help formalise how data analysis is carried out within the team.
The core of the work:
- Translating business requirements into data requirements and technical specifications, and supporting the testing of deployments in a new enterprise data lakehouse.
- Supporting the implementation of data mastering systems, including a security master and IBOR, from configuration through to data model alignment and integration with the wider architecture.
- Evaluating market data inputs and usage across asset classes, covering reference data, pricing and indices, to confirm completeness, quality and efficient use.
- Reviewing data usage patterns to identify redundant or duplicated datasets that can be consolidated or retired.
- Supporting the migration from legacy systems to the target architecture: mapping sources front to back, producing data flow diagrams and expanding the data catalogue.
- Contributing to data governance, data quality and wider data management activity, working with internal technology teams and third party partners.
What you'll need:
- Investment management experience and a solid understanding of investment data across the front-to-back lifecycle, including IBOR concepts and how market data is used.
- Hands-on experience with data mastering platforms; involvement in a security master implementation is ideal.
- Strong knowledge of market data and financial datasets across asset classes, and familiarity with the main providers.
- Practical experience of data quality, controls and governance.
- Exposure to modern data platforms, ideally lakehouse architectures, plus data modelling and data flow mapping skills.
- Experience on large programmes or system implementations, and the communication skills to work with both technical and business teams.
Business Data Analyst employer: Qh4 Consulting
Join a leading global investment management firm that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the investment lifecycle. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technology like Aladdin, all while enjoying a supportive environment that prioritises data integrity and quality. Located in a vibrant financial hub, this role not only promises meaningful work but also the chance to be part of a team that drives excellence in investment data management.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst
✨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 Qh4 Consulting!
✨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 Business Data Analyst at Qh4 Consulting.
✨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 Qh4 Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Business Data Analyst at Qh4 Consulting, 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 Business Data Analyst
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 Qh4 Consulting, 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 Qh4 Consulting. 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 Qh4 Consulting
✨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 Qh4 Consulting!
✨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.
