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- Tasks: Join a dynamic team to optimise data analytics and support decision-making.
- Company: Be part of a global private equity investor with a focus on growth.
- Benefits: Enjoy opportunities for remote work and access to advanced tools.
- Why this job: Make an impact through data-driven insights in a collaborative environment.
- Qualifications: Bachelor's degree in relevant fields and experience in data analytics required.
- Other info: Strong skills in PowerBI, SQL, and Python are preferred.
The predicted salary is between 36000 - 60000 £ per year.
This is an excellent opportunity to join a specialist private equity investor with a global focus. As part of a high-performing team, you'll play a pivotal role in designing, developing and optimising data analytics and the internal infrastructure across portfolio systems and processes. In this role, you'll partner with global teams across finance, investor relations, and investments to deliver high-quality data solutions, enhance analytical capabilities, and support data-driven decision-making across the firm.
What the job involves:
- Build a strong understanding of the global portfolio, investments, and key datasets to support decision-making and insights across the business.
- Collaborate with teams to develop advanced analytical tools and reports focused on portfolio data, including cash flows, valuations, and operational metrics.
- Assist in maintaining and scaling key systems and infrastructure, such as portfolio monitoring platforms, deal flow and CRM systems, and proprietary tools like SQL Server and PowerBI models.
- Develop and optimise data pipelines to automate the collection, transformation, and loading of datasets, improving reporting workflows.
- Support the integration of AI capabilities with the data infrastructure to enhance analysis and insights.
Who we are looking for:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or related field.
- Experience in data analytics or similar role, preferably in financial services.
- Strong competency with PowerBI and automation tools.
- Strong competency with SQL and Python is preferred.
- Understanding of data modelling concepts and best practices.
- Strong problem-solving skills, communication skills and attention to detail.
- Advanced MS Excel proficiency.
- Strong team player and ability to build strong working relationships across the business.
Data Associate, Portfolio Analytics, Growth Equity Investor, London, UK | London, UK employer: PER, Private Equity Recruitment
Contact Detail:
PER, Private Equity Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Associate, Portfolio Analytics, Growth Equity Investor, London, UK | London, UK
✨Tip Number 1
Familiarise yourself with the specific data analytics tools mentioned in the job description, such as PowerBI and SQL. Consider creating a small project or portfolio piece that showcases your skills with these tools, as it can be a great conversation starter during interviews.
✨Tip Number 2
Network with professionals in the private equity and financial services sectors. Attend industry events or join relevant online forums to connect with people who work in similar roles. This can provide you with insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in data analytics and AI integration within financial services. Being knowledgeable about current developments can help you demonstrate your passion for the field and your commitment to continuous learning during interviews.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you've used data to drive decision-making in past experiences. Be ready to share specific examples that highlight your analytical capabilities and teamwork skills, as these are crucial for the role.
We think you need these skills to ace Data Associate, Portfolio Analytics, Growth Equity Investor, London, UK | London, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Associate position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Skills: Emphasise your experience with data analytics, SQL, PowerBI, and Python in your CV and cover letter. Provide specific examples of how you've used these tools in previous roles to demonstrate your competency.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention how your background aligns with their focus on data-driven decision-making and collaboration across teams.
Follow Application Instructions: When you're ready to apply, ensure you follow the company's application process precisely as outlined. This includes submitting all required documents and completing any additional steps they may have on their platform.
How to prepare for a job interview at PER, Private Equity Recruitment
✨Know Your Data Tools
Familiarise yourself with PowerBI, SQL, and Python before the interview. Be ready to discuss your experience with these tools and how you've used them in previous roles, especially in data analytics.
✨Understand the Company’s Portfolio
Research the company’s investment portfolio and understand their focus areas. This will help you demonstrate your knowledge of their business and how you can contribute to their data-driven decision-making.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your analytical thinking and how you approached problem-solving in your previous roles.
✨Emphasise Team Collaboration
Since the role involves working with global teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've built strong working relationships and contributed to team success.
