At a Glance
- Tasks: Drive data automation, analyse insights, and enhance reporting solutions.
- Company: Leading investment management organisation focused on data and technology.
- Benefits: Hybrid working, competitive salary, and long-term career development opportunities.
- Other info: Collaborative team culture with exposure to various business functions.
- Why this job: Shape the future of data management in a transformative environment.
- Qualifications: Passion for data, experience with SQL, Python, and Power BI.
The predicted salary is between 54000 - 66000 £ per year.
We're partnering with a leading investment management organisation that is investing heavily in data, automation and technology to support the next phase of its growth. As part of this investment, they're looking to hire a Business Data Analyst to join a growing data function focused on improving data quality, governance, reporting and automation across the business.
This is an excellent opportunity to work at the heart of a business undergoing significant transformation, helping to shape how data is managed, analysed and leveraged across Operations, Product, Risk, Performance, Fund Accounting and Front Office teams.
The Role
Working within a collaborative Business Data Management team, you'll play a key role in delivering the organisation's data strategy by identifying opportunities to automate manual processes, improving data governance and developing insightful reporting solutions. You'll work closely with stakeholders across the business to understand data challenges, implement new technologies and support the development of self-service reporting capabilities.
Key Responsibilities
- Drive the automation and optimisation of existing manual processes using strategic data tools
- Analyse and visualise business data to provide meaningful insights across multiple business functions
- Support the development of data governance standards and foundational data domains
- Build and enhance self-service reporting and dashboards using Power BI
- Work with third-party vendors to integrate data platforms and improve data accessibility
- Produce reports for governance forums, steering committees and senior stakeholders
- Create and maintain process documentation and support continuous improvement initiatives
- Collaborate with business and technology teams to deliver data-focused change projects
About You
We're looking for someone with a passion for data, technology and continuous improvement who enjoys solving complex business problems. You'll ideally have:
- Experience within Asset Management or the wider Investment Management industry
- Strong data analysis and problem-solving skills
- Experience with SQL and Python
- Experience using Power BI for reporting and dashboard creation
- Knowledge of Snowflake and Alteryx
- Strong Excel and Microsoft Office skills
- Excellent stakeholder engagement and communication skills
- Experience working within business change or transformation programmes (desirable)
- Exposure to Power Automate, APIs or SFTP integrations (advantageous)
- IMC qualification or similar (desirable)
Why Apply?
- Join a newly created role within a growing data team
- Work on high-profile automation and data transformation initiatives
- Influence the future direction of the organisation's data capabilities
- Gain exposure across multiple areas of a leading investment management business
- Hybrid working and an excellent opportunity for long-term career development
Data Analyst in London employer: Hydrogen
Join a prestigious law firm in London that values excellence and innovation, offering private equity lawyers a dynamic work environment where collaboration and professional growth are at the forefront. With a commitment to employee development, competitive benefits, and a vibrant culture, this firm provides a unique opportunity to thrive in one of the world's leading financial hubs.
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We think this is how you could land Data Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data 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 Hydrogen, 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 Hydrogen. 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 Hydrogen
✨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 Hydrogen!
✨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.
