Manager- SAAS Private Equity Analytics

From the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We firmly believe in the strength of collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success.

With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today’s challenges and deliver present and future value.

Our commitment to our people has earned us numerous awards including Inc
5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Our data systems specialists design, build, and deploy leading data, analytics, and automation programs that generate rapid ROI across the enterprise.

By joining our rapidly growing Data Transformation & Analytics practice you will serve as a trusted partner to our clients. You’ll bring your first-hand experience, unique perspectives, and functional knowledge to deliver tailored integrated solutions that help our clients solve today's challenges and set the foundation for future success. As a Manager at Cross Country Consulting you will be responsible for a mix of client delivery, leading teams and developing junior team members, and participating in business development activities.

What You'll Do

• Comprehensive Diligence:
  Bring a diligence mindset to build innovative solutions for clients looking to leverage data for performance analytics and insights in connection with managing the business for near and long-term transformational events, including mergers and acquisitions (M&A), divestitures, carve-outs, and exit preparedness.
• Strategic Counsel:
  Provide strategic counsel to corporate and private equity leaders, including direct access to strategists, decision-makers, operating executives, managing directors, chief financial officers, and corporate development officers.
• Data Analytics:
  Perform data extraction, transformation, modeling, data visualization, benchmarking, and various descriptive and predictive analyses to help clients make better decisions.
• High-Performing Teams:
  Lead high-performing teams in data analytics, consulting, and/or private equity, combining technical knowledge, data analytics, and data visualization skills to drive valuable business and commercial insights.
• Client Interaction:
  Cultivate new client relationships and deepen existing ones.
• Innovation:
  Develop and support thought leadership and intellectual capital, using data and insights to inform conclusions and support decision-making.
• Continuous Improvement:
  Contribute to the continuous improvement of the fast-growing practice.
• People Development:
  Coach, mentor, and develop team members to achieve their career goals.
• Automation and Technology Enablement:
  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.
• Forecasting Models:
  Contribute to the creation of forecasting and predictive analytics models.
• Data-Driven Discussions:
  Lead data-driven discussions in management meetings, translate and communicate complex data findings into clear, strategic recommendations for due diligence findings and transaction models to clients and internal deal teams.

What You'll Bring

• Technical Skills:
  Extensive ability and proven skills in data processing tools such as Alteryx, Power Query, Excel, SQL, Python, in addition to data visualization tools such as Power BI, Tableau, Looker, or similar platforms.
• Business Acumen:
  Strong business acumen and critical thinking skills to draw meaningful insights from robust underlying data.
• Industry
  
  Experience:
  
  Experience in SaaS, Industrial Manufacturing, Healthcare, Consumer Products, Retail and/or Professional Services industries.
• Analytical Methods:
  Experience with advanced analytical methods, including statistical pricing studies, customer lifetime value analyses, customer persistency/retention analyses, geospatial analyses, and statistical clustering analyses.
• Communication Skills: A passion for…