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About our client
This is an exciting growth opportunity to join a specialist private equity investor through a period of growth. As Head of Portfolio Data and Analytics, you will play a key role in the development of technology, automation, visualisation, and portfolio analysis to drive better business decisions across portfolio management, transactions, and fundraising. The role will partner with senior management and work closely with heads of business units to lead the development and improvement of automation and visualisation across the fund and investment lifecycle. The role will lead an established team and partner with senior international stakeholders.
What the job involves
- Design and oversee regular reporting and financial performance analysis for portfolio companies.
- Create dashboards for investors and international investment committees.
- Analyse financial data for portfolio companies, including growth rates, industry trends, and international economic factors.
- Support the maintenance and review of portfolio company valuations.
- Develop internal data infrastructure and utilize automation for the investment and investor relations teams.
- Standardise data collection and processes with portfolio companies.
- Lead the development of real-time data inflows across the portfolio.
- Analyse operational data to identify areas for value creation.
- Prepare portfolio analytics and insights for fundraising or investor communication.
- Evaluate and potentially implement machine learning models for predictive analytics.
- Lead and develop the established team to ensure best practices.
- Train and mentor junior team members on processes, data analytics, and automation tools.
- Develop strong relationships with internal and external stakeholders.
Who we are looking for
- Relevant accounting or portfolio management qualification for portfolio analytics.
- Strong understanding of private markets portfolio monitoring and valuations.
- Proficiency with automation and visualization tools (e.g., Power BI).
- Experience in designing portfolio analytics processes and controls.
- Solid understanding of data modelling concepts and best practices.
- Experience in managing and leading a team.
- Excellent business partnering and stakeholder management skills.
- Strong written and verbal communication skills.
You will be redirected to the company’s website – you must complete the application on their platform to apply.
#J-18808-LjbffrHead of Data Analytics - PER, Private Equity Recruitment (London) employer: PER, Private Equity Recruitment
As a leading specialist private equity investor based in London, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. Our commitment to employee growth is evident through our comprehensive training programmes and mentorship opportunities, ensuring that every team member can thrive and contribute to impactful decision-making. Join us to be part of a forward-thinking team that values your expertise and offers a unique chance to shape the future of portfolio analytics in a vibrant city.
Contact Details:
PER, Private Equity Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Analytics - PER, Private Equity Recruitment (London)
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Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
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Tailor Your Documents for Us:When applying for a full-time role at PER, Private Equity Recruitment, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
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In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
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✨Portfolio of Projects
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✨Know their business model
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