Senior Manager delivering advanced analytics to support financial decisions for clients. Join a burgeoning advisory firm focused on AI-driven insights and strategic value creation in deals.
Responsibilities
Critically assess and enhance clients’ exit readiness by challenging the equity story, data landscape, KPIs, and business plan reporting to maximise exit value for clients preparing for a sale or IPO.
Bring a critical eye and a commercial mind to both buy-side and sell-side diligence projects. Rapidly assess and present drivers of value to support or critically test the deal hypothesis using leading analytics. Enhancing the impact of diligence processes.
Use commercial analytics to identify and unlock profitability improvements (e.g., customer/ product profitability, SKU rationalisation, pricing strategy, site/ network optimisation).
Apply advanced analytics, including forecasting, scenario modelling, and predictive modelling to support better financial and commercial decision-making.
Develop and automate clear, impactful board and management reporting solutions, including dashboards and reports that provide business unit-level insights with market context.
Champion the use of AI and data-driven techniques in all projects, leveraging tools such as large language models (LLMs) and other analytics platforms.
Work closely within cross-functional teams and engage directly with Unity Advisory Partners, coordinating project workstreams in a highly collaborative environment.
Translate complex data findings into clear, compelling recommendations for senior stakeholders, frequently presenting insights and reports to C-level clients.
Requirements
ACA, CIMA, or equivalent accounting/ finance certification.
Proven experience in a consulting role (ideally Big Four or boutique), with a track record of delivering measurable client impact.
Hands-on experience in deals, transactions, or M&A (e.g., transaction services, due diligence, private equity portfolio support).
Exceptional data management and analytical capability, including working with large datasets, financial models, and BI/ analytics tooling.
Keen interest or exposure to artificial intelligence and large language models, with the willingness to learn and apply new AI/ LLM-based techniques in client work.
Proficiency with analytics tools such as SQL, and or Python.
Experience with data management/ visualisation platforms (e.g., Power BI, Databricks, Alteryx, or similar).
Experienced in excel modelling (e.g. building 3 statement financial forecasts)
Experience supporting private equity value creation initiatives (e.g. performance improvement, KPI redesign, operating model analytics).
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