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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 an 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 in London 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 in London
✨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.
✨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, as this is key in the finance sector.
✨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.
We think you need these skills to ace Finance BI Analyst: Python-Powered Dashboards & Insights in London
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 share specific examples that showcase your skills!
Tailor Your Experience: When writing your application, focus on your experience with BI tools like Power BI and Tableau. We’re looking for candidates who can demonstrate their ability to unlock data value, so make it clear how you’ve done this in previous roles.
Collaborate and Communicate: Since this role involves working with various teams, emphasise your collaboration skills. Share instances where you’ve worked with others to achieve a common goal, especially in the context of data analysis or dashboard creation.
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 don’t miss out on any important updates during the process!
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 manipulation and dashboard creation. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with BI Tools
Since the role involves using Power BI and Tableau, take some time to explore these tools if you haven't already. Prepare to showcase any dashboards you've created or insights you've derived from data using these platforms. Being able to speak about your hands-on experience will impress the interviewers.
✨Understand the Financial Services Landscape
Research the Pension & Asset Management sector to understand current trends and challenges. This knowledge will allow you to engage in meaningful conversations during the interview and demonstrate your passion for the industry. Think about how your skills can contribute to operational efficiency and investment decisions.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with thoughtful questions about the team, their data strategy, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
