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Jobs(31,365)/Head of Analytics Role(48)/unity-advisory (12) - Manager- FDD & Deals Analytics
unity-advisory

unity-advisory - Manager- FDD & Deals Analytics

London, England, United Kingdom3mo ago
In OfficeEMEAArtificial IntelligenceHead of AnalyticsSQLPythonPower BIExcelDatabricks

Requirements

• ACA, CIMA, or equivalent finance/accounting qualification. • Experience in a consulting or advisory role — Big Four or boutique — with a track record of delivering in deals or transaction environments. • Hands-on exposure to FDD, transaction services, or M&A — you understand the deal process and what clients need from it. • Strong analytical capability — comfortable working with large, complex datasets, financial models, and BI/analytics tools. • Genuine curiosity about AI and how it applies in deals contexts. You don’t need to be a developer, but you’re interested, you’ve experimented, and you want to build that muscle. • Clear, confident communication — able to present data-driven findings to senior stakeholders in a way that lands. • Proficiency in SQL and/or Python. • Experience with Power BI, Databricks, Alteryx, or similar platforms. • Excel financial modelling experience, including three-statement forecasts. • Exposure to PE value creation work — performance improvement, KPI redesign, or operating model analytics.

Responsibilities

• Support buy-side and sell-side Financial Due Diligence, assessing quality of earnings, cash flows, working capital, and transaction risks — and helping to shape the commercial story behind the numbers. • Use data-driven techniques to rapidly identify and present drivers of value, test the deal hypothesis, and elevate the impact of diligence work. • Help clients prepare for sale or IPO by interrogating their data landscape, KPIs, and business plan reporting — and identifying where the numbers need to work harder. • Build and automate clear, impactful management reporting tools — dashboards and board-level outputs that give clients real commercial visibility. • Use LLMs, forecasting, scenario modelling, and predictive analytics to solve commercial problems — not as an experiment, but as standard practice. • Take large, messy datasets and translate them into clear, compelling recommendations for senior stakeholders, including C-suite clients. • Contribute to value creation projects post-deal — including profitability analysis, KPI redesign, and operating model analytics for PE-backed portfolio companies.

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