unity-advisory - Senior Manager - Deals Analytics
Requirements
• Skills needed: Advanced analytics skills, experience in using AI/LLM tools for data analysis. • Years of experience: Not explicitly stated; however, the role is described as senior level which typically implies significant years of relevant industry experience (potentially more than 5 years). • Education: No specific education requirement mentioned but a Master's degree or equivalent in finance/accounting with analytics and deal readiness expertise would be beneficial. • Certifications: Not explicitly stated; however, certifications such as CFA, FRM (Financial Reporting Managers), or similar relevant to financial analysis could enhance the candidate's profile given the role’s focus on finance advisory services and deal analytics. • Must-haves: Client-facing experience in a fast-growing start-up/scale-up environment, ability to work autonomously with minimal supervision, strong communication skills for collaboration across teams and clients, critical thinking abilities for assessment of equity stories and KPIs, commercial mindset.
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 dilig01: Critically evaluate clients' exit strategies by scrutinizing their equity narratives, data integrity, key performance indicators (KPIs), and business plans with an aim to optimize potential sale outcomes or IPO proceedings for maximum financial gain. • Apply commercial analytics techniques such as customer/product profitability analysis, SKU rationalization assessments, pricing strategy development, and network optimization strategies using data insights derived from advanced analytics tools like forecasting models, scenario modeling, and predictive modelling to inform better financial and business decisions. • Develop automated reporting solutions that include dashboards and reports providing granular insights at the business unit level while incorporating market context for strategic decision making by management teams.
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