Apply on Employer Site

CrossCountry Consulting · 1 day ago

Associate Director- Private Equity Analytics

United States

Full-time

Remote

Senior Level, Lead/Staff

9+ years exp

CrossCountry Consulting is an advisory firm dedicated to creating a positive experience for both clients and employees. The Associate Director of Private Equity Analytics will oversee various data transformation and analytics projects, providing strategic counsel to corporate and private equity leaders while leading high-performing teams and cultivating client relationships.

AccountingConsultingFinanceRisk Management

Growth Opportunities

Responsibilities

Oversee a wide range of Data Transformation & Analytics projects, spanning performance analytics, transaction support, forecasting, and AI-enabled solutions

Bring a diligent mindset to build innovative solutions for clients leveraging data for performance analytics and insights in connection with transformational events, including mergers and acquisitions (M&A), divestitures, carve-outs, and exit preparedness

Utilize core accounting and financial due diligence skills to ensure data is reconciled and built at the transaction level, leading to supportable and auditable performance metrics

Provide strategic counsel to corporate and private equity leaders, including direct access to strategists, decision-makers, operating executives, managing directors, CFOs, and corporate development officers

Perform data extraction, transformation, modeling, visualization, benchmarking, and various descriptive and predictive analyses to help clients make better decisions

Lead high-performing teams in data analytics, consulting, and/or private equity, combining technical knowledge, analytics, and visualization to drive valuable business and commercial insights

Cultivate new client relationships and deepen existing ones. Guide clients and teams along their analytics journey, aligning with their strategic vision, crafting a practical roadmap, and supporting implementation

Lead data-driven discussions in management meetings, translating complex findings into clear, strategic recommendations for due diligence and transaction models

Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards

Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes

Suggest methods and leverage tools to automate the client’s end-to-end process from data extraction and preparation to reporting in support of performance analytics

Contribute to the creation of forecasting and predictive analytics models

Develop and support thought leadership and intellectual capital, using data and insights to inform conclusions and support decision-making

Contribute to the continuous improvement of the fast-growing practice

Mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve multi-faceted issues

Play an active role in attracting, interviewing, hiring, and retaining top Talent

Foster business development opportunities by networking within existing clients, participating on proposal teams in securing new client work, and generating leads from a network outside of existing client work

Qualification

Data analyticsFinancial due diligenceAI toolsData processing toolsBusiness acumenClient relationship managementMentoringNetworkingCritical thinkingContinuous learning mindsetTeam leadershipCommunication skills

Required

9+ years of relevant experience involving a combination of financial due diligence for transaction services and data analytics

Extensive ability and proven skills in data processing tools such as Alteryx, PowerQuery, Excel, SQL, Python, and visualization tools such as Power BI, Tableau, Looker, or similar

Strong business acumen and critical thinking skills to draw meaningful insights from robust underlying data

Experience in SaaS, Industrial Manufacturing, Healthcare, Consumer Products, Retail, and/or Professional Services industries, including analytics around ARR cube and snowball, revenue/margin and price-volume, and/or cash collections waterfall

Experience in functional areas like supply chain, operations, and corporate finance

Experience with advanced analytical methods, including statistical pricing studies, customer lifetime value analyses, customer persistency/retention analyses, geospatial analyses, and statistical clustering analyses

Experience in business integrations, divestitures, or carve-outs including experience with quantitative and qualitative analysis

Transactions experience focused on quality of earnings, net working capital, and cash flows

Comfort with AI: Demonstrated ability to responsibly explore and adopt firm-approved AI tools to enhance productivity and innovation

Continuous Learning Mindset: Openness to learning and applying emerging technologies including AI and automation in alignment with firm policies and client standards

A passion for developing and maintaining client relationships. Ability to interact, communicate, and present effectively with internal teams and external clients

Experience mentoring junior team members and assisting project teams in resolving complex and multi-faceted issues

Willingness to travel to client sites when necessary

Bachelor's degree in Business, Accounting, Economics, Engineering, Information Systems, Mathematics, or similar discipline