Miryco is working with a leading player in the Pension and Asset Management market.
Job Specification: Business Intelligence Analyst / Data Engineer
Department: Business Intelligence / Data Analytics
Sector: Pensions & Asset Management
About the Role:
We are seeking a hybrid Business Intelligence Analyst/Data Engineer to join our data and analytics team within a leading Pension & Asset Management organisation. This role will play a key part in unlocking the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency.
The ideal candidate will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment.
Key Responsibilities
- Develop, maintain, and optimise BI solutions using Databricks and other data tools.
- Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights.
- Transform complex data sets into clear dashboards, visualisations, and reports for business stakeholders.
- Ensure data accuracy, governance, and security across reporting processes.
- Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views.
- Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases.
- Support the migration of legacy reporting tools into Databricks and modern BI solutions.
Key Skills & Experience
- Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake).
- Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik).
- Strong SQL and data modelling skills.
- Experience working with large, complex financial datasets.
- Familiarity with cloud platforms (Azure / AWS / GCP) is an advantage.
- Knowledge of pensions, asset management, or wider financial services industry.
- Strong problem-solving, analytical, and communication skills — able to translate data into business insight.
Location: London
Finally, should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity. We will however, be in touch should there be any other opportunities of potential interest that are suiting to your skills.
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