Hybrid Senior Manager – Deals Analytics

at Unity Advisory

• Job title: Senior Manager – Deals Analytics
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Professional Certificate
• Tech skills: Python, SQL, Unity
• Location requirements: Hybrid, London, United Kingdom

About the role

• 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).

Benefits

• Flexible working hours
• Professional development opportunities