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Financial Data Analyst

2 weeks ago


London, Greater London, United Kingdom JR United Kingdom Full time

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Are you passionate about data-driven decision-making and eager to influence investment strategies? Join a leading venture capital firm that backs early-stage startups shaping a digital and sustainable built world.

My client is seeking a Portfolio Data Analyst to support investment decision-making and portfolio management by analysing data from high-growth startups. You'll work closely with investors and founders to provide insights that drive strategic growth.

Your Responsibilities:

  • Data Collection & Management: Maintain structured data processes, ensuring accuracy and consistency in financial and operational data from portfolio companies.
  • Performance Tracking: Develop dashboards and reports to monitor key performance indicators (KPIs), such as revenue growth, burn rate, and valuation changes.
  • Process Automation: Implement data pipelines and automation strategies to enhance reporting and analysis.
  • Data Insights & Predictive Analytics: Build models to forecast startup performance, detect early warning signals, and assess risks.
  • Investor Reporting: Assist in preparing fund updates, investor reports, and presentations.
  • Collaboration: Work closely with VC partners, portfolio founders, and stakeholders to align on key metrics.
  • Follow-on Investment Analysis: Support due diligence by analysing industry benchmarks, financial statements, and market trends.

You Will Need:

  • Experience in data science, financial analytics, or investment-related data analysis (VC, PE, banking, consulting, or startups).
  • Strong proficiency in Python, SQL, and data visualisation tools (Tableau, Power BI, Looker).
  • Solid understanding of statistical techniques and an ability to extract insights from complex datasets.
  • Familiarity with venture capital metrics (ARR, CAC, LTV, burn rate, etc.) and financial modelling.
  • Strong communication skills, with the ability to present findings to both technical and non-technical audiences.

It's a Bonus If You Have:

  • Experience working in a VC environment or with portfolio management tools (Affinity, Vestberry, Carta, PitchBook).
  • Knowledge of machine learning techniques and their commercial applications.

The Benefits:

  • Work at the forefront of innovation, collaborating with high-growth startups.
  • Competitive salary and benefits, including private medical insurance and flexible working.
  • Access to mentoring, workshops, and industry-leading experts.
  • 25 days' holiday plus bank holidays, with additional wellbeing days.
  • Opportunity to work overseas for up to a month per year.

If you're excited about using data to drive investment decisions, apply now to join a team shaping the future of the digital and sustainable built world

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