At a Glance
- Tasks: Own and develop a cutting-edge data platform, ensuring reliable data for reporting and business use.
- Company: Specialist asset manager with a strong track record of performance.
- Benefits: Competitive salary, hands-on role, and significant autonomy in a transformative environment.
- Other info: Opportunity to work closely with stakeholders and drive data solutions.
- Why this job: Play a key role in shaping the firm's data strategy and make a real impact.
- Qualifications: 5+ years in data platform or analytics engineering, with strong SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a specialist asset manager, with a long track record of performance, that is looking to hire a data platform analyst / analytics engineer to take ownership of its core data platform. It’s a period of significant data transformation for the firm. There is a growing focus on improving how data is handled across the business as well as ensuring consistency and alignment.
The role focuses on bringing together data across investment, distribution, and operations, ensuring consistent and reliable outputs for both reporting and broader business use. It’s a hands-on role with significant autonomy and one where there is pronounced stakeholder management.
The successful candidate will work closely with stakeholders to understand how data is consumed, ensure the platform reflects real business needs, and help shape the evolution of the firm’s data environment. It offers the opportunity to own a business-critical platform and play a key role in the firm’s broader data strategy.
Responsibilities:- Own and develop the firm’s Snowflake / Sigma data platform
- Bring together data across investment, distribution, and operations
- Deliver consistent, reliable data for reporting and business use
- Work with stakeholders to turn business needs into scalable data solutions
- 5+ years' experience in data platform, analytics engineering or data engineering roles
- Buy-side experience preferred (asset manager, hedge fund, or similar)
- Hands-on experience with Snowflake and exposure to Sigma or similar BI tools
- Experience working on or owning a data platform
- Strong SQL and understanding of how data supports reporting and decision-making
- Comfortable working directly with business stakeholders
Due to high demand, we are advertising this role anonymously. If you would prefer to speak to someone before submitting a CV, please send a blank application to the role and someone will be in touch to discuss. We can only respond to highly qualified candidates.
Data Platform Analyst / Analytics Engineer in City of London employer: Undisclosed
Join a leading asset manager in London, where you will play a pivotal role in transforming the firm's data landscape. With a strong emphasis on employee growth and a collaborative work culture, this position offers significant autonomy and the chance to directly influence business outcomes. Enjoy competitive benefits and the opportunity to work in a dynamic environment that values innovation and stakeholder engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Analyst / Analytics Engineer in City of London
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We think you need these skills to ace Data Platform Analyst / Analytics Engineer in City of 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!
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How to prepare for a job interview at Undisclosed
✨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!
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✨Get Comfortable with Python and R
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✨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.
