Manager, PE Analytics
New
C
CrossCountry ConsultingPrivate equity analytics
United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- Minimum 5 years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics.
- Required Skills
- PythonSQLMicrosoft Power BITableauMicrosoft ExcelLookerData analytics
Requirements
- Have a minimum of 5 years of relevant experience combining financial due diligence for transaction services and data analytics.
- Bring extensive skills with Alteryx, Power Query, Excel, SQL, and Python.
- Have experience with Power BI, Tableau, Looker, or similar data visualization platforms.
- Bring strong business acumen and critical-thinking skills to draw insights from underlying data.
- Have experience in SaaS, industrial manufacturing, healthcare, consumer products, retail, and/or professional services.
- Have experience with analytics such as ARR cube and snowball, revenue/margin and price-volume, and/or cash collections waterfall.
- Have experience in functional areas such as supply chain, operations, and corporate finance.
- Have experience with advanced analytical methods, including pricing studies, customer lifetime value, retention, geospatial, or clustering analyses.
- Demonstrate responsible use of firm-approved AI tools and openness to learning emerging technologies, including AI and automation.
- Have experience working in a fast-paced mergers and acquisitions environment and an interest in consulting.
- Bring transactions experience focused on quality of earnings, net working capital, and cash flows.
- Have experience mentoring junior team members and assisting project teams with complex issues.
- Be willing to travel.
Responsibilities
- Build data-driven solutions for performance analytics related to mergers and acquisitions, divestitures, carve-outs, and exit preparedness.
- Apply accounting and financial due diligence skills to reconcile data and develop transaction-level, auditable performance metrics.
- Extract, transform, model, visualize, benchmark, and analyze data to generate client insights.
- Advise corporate and private equity leaders and cultivate new and existing client relationships.
- Interview clients to assess current and future states, identify gaps, and pinpoint root causes.
- Guide clients in defining their analytics vision, developing initiative roadmaps, and implementing initiatives.
- Lead data analytics, consulting, and private equity teams.
- Develop forecasting and predictive analytics models and suggest automation across data preparation and reporting.
- Lead data-driven discussions and translate findings into recommendations for clients and internal deal teams.
- Coach and mentor team members, provide feedback and performance reviews, and help resolve project issues.
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