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- Tasks: Unlock data value to support investment decisions and create insightful dashboards.
- Company: Leading Pension & Asset Management organisation with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the financial services industry.
- Qualifications: Strong Python skills and experience with BI tools like Power BI and Tableau.
- Other info: Perfect for data enthusiasts looking to thrive in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading Pension & Asset Management organisation is seeking a skilled Business Intelligence Analyst to join their data and analytics team. This role focuses on unlocking the value of data to support investment decisions and operational efficiency. The ideal candidate should have strong Python skills and experience with BI tools like Power BI and Tableau.
Responsibilities include:
- Developing datasets
- Collaborating with teams
- Creating insightful dashboards
This opportunity is ideal for someone passionate about data in the financial services industry.
Finance BI Analyst: Python-Powered Dashboards & Insights employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance BI Analyst: Python-Powered Dashboards & Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and BI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and BI dashboards. This will give you an edge and demonstrate your ability to turn data into actionable insights, which is exactly what employers are looking for.
✨Tip Number 3
Prepare for interviews by brushing up on common BI scenarios and case studies. Practice explaining how you've used data to drive decisions in past roles. This will help you articulate your value during those crucial conversations.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team and makes it easier for us to connect with you.
We think you need these skills to ace Finance BI Analyst: Python-Powered Dashboards & Insights
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it to create dashboards or analyse data, so don’t hold back on those examples!
Tailor Your Experience: When writing your application, connect your past experiences with the responsibilities listed in the job description. We love seeing how your background aligns with what we do at StudySmarter.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jobster
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss how you've used Python in past projects, especially in relation to data analysis and dashboard creation. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with BI Tools
Since the role requires experience with Power BI and Tableau, take some time to explore these tools if you haven't already. Prepare to showcase any dashboards you've created and be ready to explain your design choices and the insights they provided.
✨Understand the Financial Services Landscape
Research the pension and asset management industry to understand current trends and challenges. This knowledge will not only impress your interviewers but also help you relate your skills to their specific needs and demonstrate your passion for the sector.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think of examples where you've worked effectively in a team. Be prepared to discuss how you communicate complex data insights to non-technical stakeholders, as this will show your ability to bridge the gap between data and decision-making.
