Manager – PE Analytics

Posted 16 hours ago

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Design and implement innovative analytics solutions that leverage data to drive performance insights during transformational events such as mergers, acquisitions, divestitures, carve-outs, and exit strategies.

β€’ Utilize accounting and financial due diligence expertise to reconcile transaction-level data, generating credible and auditable performance metrics.

β€’ Offer strategic advice to corporate leaders, private equity executives, strategists, operating officers, managing directors, CFOs, and corporate development professionals.

β€’ Conduct data extraction, transformation, modeling, visualization, benchmarking, as well as descriptive and predictive analyses.

β€’ Create and deploy firm-approved AI-driven solutions, ensuring compliance with data protection laws, intellectual property rights, and professional standards.

β€’ Keep abreast of emerging AI technologies and techniques, identifying compliant opportunities to enhance client solutions and improve internal processes.

β€’ Lead high-performing teams within data analytics, consulting, and/or private equity sectors.

β€’ Foster new client relationships while strengthening existing ones.

β€’ Engage clients through interviews to evaluate current and future state gaps and determine root causes.

β€’ Assist clients in navigating analytics strategy, roadmaps, and implementation initiatives.

β€’ Contribute to thought leadership and the development of intellectual capital.

β€’ Enhance practice through continuous improvement initiatives.

β€’ Mentor, coach, and develop team members, including conducting performance reviews and providing feedback.

β€’ Streamline client processes from data extraction and preparation to reporting through automation.

β€’ Support forecasting and predictive analytics models.

β€’ Facilitate data-driven management discussions and convert complex findings into strategic recommendations.


⛳️ Requirements

β€’ Extensive experience and proven abilities with data processing tools such as Alteryx, PowerQuery, Excel, SQL, and Python.

β€’ Familiarity with data visualization tools such as Power BI, Tableau, Looker, or equivalent platforms.

β€’ Strong business acumen paired with critical thinking capabilities.

β€’ Background in SaaS, Industrial Manufacturing, Healthcare, Consumer Products, Retail, and/or Professional Services sectors.

β€’ Knowledge of analytics related to ARR cube and snowball, revenue/margin and price-volume, and/or cash collections waterfall.

β€’ Experience in functional areas including supply chain, operations, and corporate finance.

β€’ Proficiency in advanced analytical methods, such as statistical pricing studies, customer lifetime value analyses, customer retention and persistency analyses, geospatial analyses, and statistical clustering analyses.

β€’ Demonstrated capability to responsibly explore and adopt AI tools approved by the firm.

β€’ Willingness to learn and apply emerging technologies such as AI and automation in accordance with firm policies and client standards.

β€’ Strong interpersonal skills with the ability to communicate and present effectively to both internal teams and external clients.

β€’ Proven interest in consulting with experience in a dynamic mergers and acquisitions environment.

β€’ Flexibility and readiness to travel as needed.

β€’ Strong academic background, including relevant coursework for the position.

β€’ Experience in mentoring junior team members and aiding project teams in resolving complex and multifaceted challenges.

β€’ Background in business integrations, divestitures, or carve-outs, including both quantitative and qualitative analysis.

β€’ Transactional experience focused on quality of earnings, net working capital, and cash flows.

β€’ Minimum of 5 years of relevant experience in financial due diligence for transaction services and data analytics.


🏝️ Benefits

β€’ Medical, dental, and vision coverage.

β€’ Flexible spending accounts.

β€’ 401(k) plan with company matching.

β€’ Generous parental and maternity leave policies.

β€’ Technology stipends.

β€’ Wellness reimbursement programs.

β€’ Support for professional development and personal well-being.

β€’ Access to a dedicated coach.

β€’ Collaborative community environment.

β€’ Opportunities to contribute beyond client delivery.

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