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- Tasks: Analyse complex data and develop dashboards for strategic decision-making.
- Company: Global financial services company with a focus on innovation.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Why this job: Join a team that drives data-driven decisions and impacts the future.
- Qualifications: STEM degree and experience with PPM tools, Excel, Power BI, and Python.
- Other info: Be part of a collaborative culture committed to growth and innovation.
The predicted salary is between 60000 - 80000 £ per year.
A global financial services company based in the UK is seeking a Manager to enable data-driven decision-making across the Engineering change portfolio.
Responsibilities include:
- Analysing complex data
- Implementing data quality controls
- Developing dashboards to inform strategic decisions
The ideal candidate will have:
- A STEM degree
- Extensive experience with PPM tools
- Strong skills in Excel, Power BI, and Python
Join a dynamic team committed to innovation and growth.
Data Analytics Lead: Portfolio Insights & Impact in London employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Lead: Portfolio Insights & Impact in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, dashboards, and any relevant work you've done. This is your chance to demonstrate your expertise in Excel, Power BI, and Python.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics and decision-making. Be ready to discuss how you've used data to drive strategic decisions in past roles—this is your moment to shine!
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our dynamic team committed to innovation and growth.
We think you need these skills to ace Data Analytics Lead: Portfolio Insights & Impact in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with PPM tools, Excel, Power BI, and Python in your application. We want to see how your skills align with the role of Data Analytics Lead!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific responsibilities mentioned in the job description. This shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at LSEG
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Excel, Power BI, and Python. Brush up on your skills and be ready to discuss specific projects where you've used these tools to analyse data or create dashboards. This will show that you can hit the ground running.
✨Understand the Company’s Portfolio
Research the company’s Engineering change portfolio and be prepared to discuss how data-driven decision-making can enhance their strategies. This shows your genuine interest in the role and helps you connect your experience with their needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems using data analysis. Practice articulating your thought process clearly, as this demonstrates your analytical skills and ability to make informed decisions under pressure.
✨Showcase Your STEM Background
Highlight your STEM degree and any relevant projects or experiences that demonstrate your analytical mindset. Be ready to explain how your educational background has equipped you with the skills necessary for this role.