Technology & Data Strategist - Private Equity - London, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description

Responsibilities:

  • Partner crossfunctionally to build valuecreating analytical and technical solutions for portfolio companies and clients, using a rigorous hypothesisbased approach
  • Perform data analysis to support the identification and prioritisation of value creation initiatives within the portfolio and clientbase
  • Partner with technical teams to build a solution development plan, and then support with execution through to rigorous assessment of results, with a strong focus on quantifying the business and financial impact
  • Lead and create deliverables that support successful solution deployment and communication to senior stakeholders; including the development of data visualisation dashboards, PowerPoint presentations, Excel models
  • Break down complex structures and problems into succinct components for a range of industries, Clients, and colleagues at all levels of seniority. Be comfortable explaining technical data science models to a nontechnical audience
  • Support in the development and delivery presentations to client Executives and Investment Leads to defining strategies, the associated costs and benefits, and work product updates
  • Compile and assess market, company, and competitor research to support business development activities and strategy development
  • Support investment due diligence; support with hypotheses generation and testing through desktop research, data analytics, and visualisation

Business Knowledge / Technical Skills:

  • Genuinely interested in how current and emerging technologybased capabilities can transform companies and generate value
  • Strong interpersonal and communication skills, comfortable communicating across all levels of the organisation, and seamlessly interface between both Technical and Business Executive Teams
  • Strong quantitative and analytical skills able to quickly draw insight from research and data analysis
  • Advanced Microsoft Excel and PowerPoint skills required
  • Experience using Data Visualization software (e.g. PowerBI) is strongly preferred
  • Other advanced data analytics skills a plus (e.g. SQL, Python, etc.)
  • Hypothesisdriven thinker able to analyse data, form and test hypotheses in a logical structure
  • Projectbased experience with technology, data, and/or analytics focus
  • Understanding of financial statements, metrics, and their connectivity to business strategy
  • Entrepreneurial, creative selfstarter; comfortable with ambiguity
  • Working knowledge of project management fundamentals including agile and continuous improvement approaches

Professional Experience & Education:

  • Experience at a strategy consulting firm, internal strategy/analytics role, or financial services firm bank.
  • Crossindustry exposure and experience are a plus.
  • Undergraduate Degree with an excellent academic record ( STEM, Finance, or Economics degree preferred).

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