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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 innovation.
- Benefits: Enjoy opportunities for remote work and access to advanced tools.
- Why this job: Make an impact by enhancing analytical capabilities and driving data solutions.
- Qualifications: Bachelor's in a relevant field; experience in data analytics preferred.
- Other info: Strong teamwork and communication skills are essential for success.
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.
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 - PER, Private Equity Recruitment
✨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 this can demonstrate your practical experience during interviews.
✨Tip Number 2
Network with professionals in the private equity sector, especially those who work in data analytics roles. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you stand out in the application process.
✨Tip Number 3
Research the company’s recent projects and initiatives related to data analytics. Being able to discuss how your skills can contribute to their current goals will show your genuine interest and understanding of their business.
✨Tip Number 4
Prepare for potential technical assessments by brushing up on your SQL and Python skills. Practising common data manipulation tasks and analytical problems can help you feel more confident and ready to impress during the interview process.
We think you need these skills to ace Data Associate, Portfolio Analytics, Growth Equity Investor, London, UK - PER, Private Equity Recruitment
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 in data analytics can contribute to the firm's goals.
Follow Application Instructions: Since you'll be redirected to the company's website, ensure you follow their specific application process carefully. Double-check that all required documents are uploaded and that your application is complete before submitting.
How to prepare for a job interview at PER, Private Equity Recruitment
✨Know Your Data
Make sure you have a solid understanding of data analytics concepts, especially as they relate to portfolio management. Be prepared to discuss how you've used data to drive decision-making in previous roles.
✨Showcase Your Technical Skills
Highlight your experience with PowerBI, SQL, and Python during the interview. Be ready to provide examples of projects where you've successfully implemented these tools to solve problems or improve processes.
✨Demonstrate Collaboration
Since this role involves working with various teams, be prepared to share examples of how you've collaborated effectively in the past. Emphasise your ability to build strong relationships and communicate clearly with different stakeholders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Think of specific challenges you've faced in data analytics and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
