Data & Analytics Manager, Lower Mid-Market Technology Fund, London, UK - PER, Private Equity Recruitment
Why This Role Stands Out
This hybrid role offers you the chance to significantly impact a fast-growing technology fund by leveraging AI for insightful data analysis and strategic decision-making. You'll thrive here if you're an entrepreneurial data leader with a passion for AI and private equity, ready to drive efficiency and growth within a dynamic team.
Quick Overview
Job Description
When you click apply, you will be redirected to the company’s website . Please ensure you have completed the company’s application process on their platform to fully apply.
About our client
We are working with an entrepreneurial and fast growing lower mid-market fund that specialises in the technology sector. Their expertise within their sector has helped them build a well-established network of founders, owners and entrepreneurs, providing them with insights into some of the newest and most innovative technology related investments. They are looking to add a Data & Analytics Manager to their high performing and dedicated London-based team.
What the job involves
- Monitoring and analysing portfolio companies, using AI to provide monitoring updates
- Deliver practical data analysis, such as turning pricing data into board-level insight
- Utilising AI to support pre-deal diligence
- Presenting to the board and providing the figures and reasoning with which to implement strategic initiatives in portfolio companies
- Championing AI to improve internal efficiencies
- Finding internal and external workstreams that can be developed and helping to implement changes
- 4-9 years of experience as one of the following:
- Consultant from a specialised private equity focused data & AI consultancy firm
- Data/analytics leaders at scale-up SaaS & data businesses
- In-house data scientist or AI team member from a private equity fund
- Strategy consultant with heavy involvement in data science & analytic practices
- Keen interest in AI and using it to improve efficiency
- Understanding of PE, the deal process, value creation, data rooms and smaller technology companies
- Strong academic background
- Entrepreneurial and a self-starter, able to identify problem areas and develop suitable initiatives
You will be redirected to the company’s website – you must complete the application on their platform to apply.
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