Manager-PE Analytics

CrossCountry Consulting

4d•Remote

About The Position

The Manager-PE Analytics will join CrossCountry’s Business Transformation practice and serve as a trusted partner to clients. The role develops and delivers integrated data analytics and performance insight solutions for corporate and private equity clients managing transformational events such as mergers and acquisitions, divestitures, carve-outs, and exit preparedness. It combines accounting and financial due diligence with data extraction, transformation, modeling, visualization, benchmarking, and descriptive and predictive analysis to produce supportable, auditable metrics and actionable recommendations. The manager advises senior client stakeholders, leads analytics and consulting teams, cultivates client relationships, and helps clients establish and implement analytics strategies and roadmaps. The role also contributes to forecasting models, automation, AI-enabled solutions, thought leadership, and the continuous improvement of the practice, while coaching and developing team members. The position requires at least five years of relevant experience combining financial due diligence for transaction services and data analytics. Travel flexibility is required.

Requirements

Minimum of 5 years of relevant experience combining financial due diligence for transaction services and data analytics.
Extensive proficiency with data processing tools such as Alteryx, PowerQuery, Excel, SQL, and Python.
Proficiency with data visualization tools such as Power BI, Tableau, Looker, or similar platforms.
Strong business acumen and critical-thinking skills to derive meaningful insights from underlying data.
Experience in SaaS, industrial manufacturing, healthcare, consumer products, retail, and/or professional services, including relevant analytics such as ARR cube and snowball, revenue/margin and price-volume, and/or cash collections waterfall.
Experience in functional areas such as supply chain, operations, and corporate finance.
Experience with advanced analytical methods, including statistical pricing studies, customer lifetime value, customer persistency or retention, geospatial, and statistical clustering analyses.
Ability to responsibly explore and adopt firm-approved AI tools and openness to learning emerging technologies, including AI and automation, in accordance with firm policies and client standards.
Strong client relationship, communication, and presentation skills with internal teams and external clients.
Ability to thrive in a dynamic work environment, identify problems, and seek solutions.
Demonstrated interest in consulting and experience in a fast-paced M&A environment.
Flexibility and willingness to travel.
Strong academic record, including coursework relevant to the position.
Experience mentoring junior team members and helping project teams resolve complex, multifaceted issues.
Experience in business integrations, divestitures, or carve-outs, including quantitative and qualitative analysis.
Transaction experience focused on quality of earnings, net working capital, and cash flows.

Responsibilities

Develop analytics solutions that support performance measurement and business decisions related to M&A, divestitures, carve-outs, and exit preparedness.
Apply accounting and financial due diligence skills to reconcile and structure transaction-level data and produce supportable, auditable performance metrics.
Advise corporate and private equity leaders and other senior stakeholders.
Extract, transform, model, visualize, benchmark, and analyze data, including descriptive and predictive analysis of large and complex datasets.
Contribute to developing and implementing firm-approved AI-enabled client solutions while complying with data protection, intellectual property, and professional standards.
Monitor emerging AI tools and techniques and collaborate with firm leadership to identify compliant ways to improve client solutions and internal processes.
Lead high-performing teams across data analytics, consulting, and/or private equity to generate business and commercial insights.
Cultivate new client relationships and deepen existing relationships; influence and support client decision-makers.
Interview clients to assess current and future state, identify gaps, and determine root causes of challenges.
Guide clients through analytics strategy, roadmap development, and implementation of initiatives.
Develop and support thought leadership and intellectual capital using data and insights.
Contribute to the continuous improvement of the practice.
Coach, mentor, and develop team members; provide ongoing feedback and annual performance reviews and help project teams resolve complex issues.
Identify methods and use tools to automate client processes from data extraction and preparation through reporting.
Contribute to forecasting and predictive analytics models.
Lead data-driven management discussions and communicate complex findings as clear strategic recommendations to clients and internal deal teams.
Travel as needed.