Director in PwC's Deal Analytics practice working with private equity and corporate clients. Providing actionable insights and support across all phases of the deal lifecycle.
Responsibilities
Work with top private equity and corporate clients across all sectors on complex and dynamic multi-billion dollar decisions
Translate data into actionable insights for clients
Support private equity and corporate clients across all phases of the deal lifecycle including diligence, post-deal and preparation for exit / divestiture
Deliver insights in diligence at deal speed
Help clients improve performance post-deal
Bring a commercial insights lens through the use of third party and alternative data
Collaborate as part of a team to solve complex business issues from strategy to execution
Support team to disrupt, improve and evolve ways of working when necessary
Arrange and sponsor appropriate assignments and experiences to help people realise their potential and support their long-term aspirations
Identify gaps in the market and spot opportunities to create value propositions
Create an environment where people and technology thrive together to accomplish more than they could apart
Drive and take ownership for developing connections that help deliver what is best for our people and stakeholders
Influence and facilitate the creation of long-term relationships which add value to the firm
Uphold the firm's code of ethics and business conduct.
Requirements
Minimum Degree Required: Bachelor Degree
Minimum Years of Experience: 8 year(s)
Degree Preferred: Master of Business Administration
Preferred Fields of Study: Accounting, Data Processing/Analytics/Science, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Mathematics, Engineering, Finance
Managing high performing teams preferably in deals data analytics, consulting, and /or private equity
Demonstrating proven communication and client presentation skills
Understanding detailed financial statements, business cycles (revenue, supply chain, etc.), business diligence, financial modeling, and valuation
Managing projects in a dynamic, collaborative environment and working under time sensitive client deadlines
Analyzing or managing transactional, financial and/or accounting data, and statistical methods in support of data analysis
Utilizing a high degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions
Utilizing data extraction/transformation, analytics, and visualization approaches
Employing business intelligence software (e.g., Power BI, Tableau, etc.) to turn data into insights
Using ETL (Extract, Transform and Load), and having experience with Alteryx, Power Query and / or other agile technologies preferred
Possessing knowledge of and having exposure to basic programming: Python, SQL, or other languages.
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