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- Tasks: Unlock data value and drive insights for investment decisions and client reporting.
- Company: Join a leading player in the Pension and Asset Management market.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Strong Python skills and experience in financial services preferred.
- Other info: Collaborative team with opportunities for growth in advanced analytics.
The predicted salary is between 36000 - 60000 £ per year.
Miryco is working with a leading player in the Pension and Asset Management market.
We are seeking a Business Intelligence Analyst 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 skills — particularly with Python — with a financial services (insurance, pensions or asset management preferred) environment.
Key Responsibilities
- Develop, maintain, and optimise datasets, using Python 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
- Strong hands-on experience with Python.
- 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, if you are not contacted within five working days of submitting your application, you have not been shortlisted for the opportunity. We will, however, be in touch should there be any other opportunities suited to your skills.
Business Intelligence Analyst - Financial Services - Miryco Consultants Ltd in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst - Financial Services - Miryco Consultants Ltd in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working in data analytics. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any dashboards you've built. This is your chance to demonstrate your technical prowess and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common BI scenarios. Think about how you would tackle real-world problems using data. We want you to be ready to impress with your analytical thinking!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Business Intelligence Analyst - Financial Services - Miryco Consultants Ltd in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Analyst role. Highlight your experience with Python, BI tools, and any relevant financial services background. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics in the financial services sector. Share specific examples of how you've used your skills to drive insights and support decision-making.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills prominently. Mention your experience with SQL, data visualisation tools, and any cloud platforms you’ve worked with. We love seeing candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Good luck!
How to prepare for a job interview at Jobster
✨Know Your Data Tools
Make sure you brush up on your Python skills and get familiar with BI tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and relevance to the role.
✨Understand the Financial Landscape
Since this role is in the financial services sector, it’s crucial to have a solid understanding of pensions and asset management. Do some research on current trends and challenges in the industry so you can speak knowledgeably about how your insights could impact investment decisions.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving skills. Think of specific examples where you've transformed complex data into actionable insights, and be ready to explain your thought process clearly.
✨Showcase Your Communication Skills
As a Business Intelligence Analyst, you'll need to translate data into business insights for stakeholders. Practice explaining technical concepts in simple terms, and prepare to discuss how you've effectively communicated findings in previous roles.