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- Tasks: Analyse sustainability data and support investment decisions with impactful insights.
- Company: Franklin Templeton, a leader in financial services with a focus on sustainability.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Join a team making a difference in sustainable investing while honing your analytical skills.
- Qualifications: Mid-to-senior level experience in finance and proficiency in SQL and Python.
The predicted salary is between 45000 - 60000 £ per year.
Franklin Templeton is seeking a talented individual in Edinburgh for a sustainability data analysis role. You will conduct research on financial risks, analyze large datasets, and support investment decision-making.
The ideal candidate will have mid-to-senior level experience in financial services, a strong grasp of investment concepts, and be proficient in data analysis tools like SQL and Python.
The position promotes a collaborative environment, emphasizing effective communication across teams.
Sustainability Data Analyst - Investment Insights in Edinburgh employer: Franklin Templeton
Contact Detail:
Franklin Templeton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sustainability Data Analyst - Investment Insights in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the sustainability and finance sectors 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 data analysis projects, especially those using SQL and Python. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on investment concepts and sustainability trends. We recommend practising common interview questions and having examples ready that highlight your experience in financial services.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Sustainability Data Analyst - Investment Insights in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial services and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in SQL and Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sustainability and how your background makes you a perfect fit for the role. We love seeing genuine enthusiasm!
Showcase Your Analytical Skills: In your application, include examples of how you've used data analysis to support investment decisions. We’re looking for candidates who can demonstrate their ability to turn data into actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Franklin Templeton
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data, as this will show your practical experience and problem-solving abilities.
✨Understand Investment Concepts
Familiarise yourself with key investment concepts relevant to sustainability. Be prepared to discuss how financial risks can impact investment decisions, as this will demonstrate your understanding of the role and its importance in the broader context of financial services.
✨Showcase Your Research Skills
Prepare examples of how you've conducted research on financial risks in the past. Highlight your analytical approach and any insights you derived from large datasets, as this will illustrate your capability to support investment decision-making effectively.
✨Emphasise Collaboration and Communication
Since the role promotes a collaborative environment, think of instances where you've worked across teams. Be ready to share how you communicated complex data findings to non-technical stakeholders, showcasing your ability to bridge gaps between data analysis and business strategy.