At a Glance
- Tasks: Analyse performance metrics and design dashboards to enhance operational excellence.
- Company: Global biopharma company based in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the biopharma industry.
- Qualifications: Degree in Mathematics, Computer Science, or Information Management; experience with Power BI preferred.
- Other info: Collaborative environment with opportunities to train and develop users.
The predicted salary is between 43200 - 72000 Β£ per year.
A global biopharma company in London is looking for a Data Analyst to enhance its operational excellence through analytics. The ideal candidate will possess strong analytical skills, have experience with reporting packages like Power BI, and the ability to collaborate across departments.
You will be responsible for:
- Analyzing performance metrics
- Designing dashboards
- Training users
Candidates with experience in finance data will be preferred, and a degree in Mathematics, Computer Science, or Information Management is required.
Finance Data & Analytics Senior Analyst in City of London employer: Jazz Pharmaceuticals
Contact Detail:
Jazz Pharmaceuticals Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Finance Data & Analytics Senior Analyst in City of London
β¨Tip Number 1
Network like a pro! Reach out to folks in the finance and analytics space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving Power BI or finance data. This will give potential employers a taste of what you can do and set you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Finance Data & Analytics Senior Analyst in City of London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with reporting tools like Power BI. We want to see how your background aligns with the role, so donβt be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data analytics in the biopharma sector and how your skills can enhance operational excellence. Let us know what makes you tick!
Showcase Collaboration Skills: Since this role involves working across departments, make sure to mention any past experiences where youβve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. Itβs the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Jazz Pharmaceuticals
β¨Know Your Numbers
Brush up on your analytical skills and be ready to discuss specific performance metrics you've worked with. Be prepared to explain how you used data to drive decisions in previous roles, especially in finance.
β¨Showcase Your Tools
Familiarise yourself with reporting packages like Power BI. Bring examples of dashboards you've designed or reports you've generated. If possible, prepare a mini-presentation to demonstrate your proficiency.
β¨Collaboration is Key
Highlight your experience working across departments. Think of examples where you collaborated with different teams to achieve a common goal. This will show that you can effectively communicate and work well with others.
β¨Prepare for Technical Questions
Expect some technical questions related to data analysis and finance. Review common concepts and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident.