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Business Intelligence Engineer, SQL, Tableau

3 months ago


London, Greater London, United Kingdom Harnham Full time £50,000 - £70,000
Job Description BI ENGINEER
CENTRAL LONDON – HYBRID (3 DAYS A WEEK)
£A great opportunity for a BI Engineer to bridge the gap between Data Engineering and BI reporting at an asset management firm expanding their data and analytics team.

Join a forward-thinking asset management firm dedicated to helping clients maximise their financial returns.

With a focus on secured loans, high-yield bonds, and structured credit, they operate at the forefront of the financial markets, leveraging data and analytics to drive informed decision-making.

As a BI Engineer, you will be responsible for supporting data cleansing, reporting, and analytical projects across the business.

This role presents an excellent opportunity to gain hands-on experience in a dynamic and fast-paced environment, working with cutting-edge technologies such as Alteryx, Tableau, SQL, and Python.

Contribute to the setup and maintenance of data infrastructure, including data lakes, warehouses, and SQL Server databases.

Utilize your technical expertise in SQL and Python to extract, transform, and analyse data from various sources, driving data-driven decision-making within the organization.

Collaborate with cross-functional teams to perform data cleansing and validation, ensuring data accuracy and integrity.
Assist in the development and maintenance of reporting dashboards using Tableau, providing actionable insights to stakeholders.
Support analytical projects, including the establishment of datasets and calculation methodologies for new funds or investment strategies.

In order to qualify for this BI Engineer role, you will require:
Proficiency in SQL and/or Python, with a willingness to learn and adapt to new technologies.
Previous experience with Alteryx and Tableau.
Ability to work collaboratively in a team environment, supporting both technical and business stakeholders.
Financial services background is ideal, with exposure to high-volume data environments.

Experience with SQL Server environments will be key, if you have familiarity with AWS infrastructure that will be a plus.

Please submit your CV via the Apply link on this website.