Deals - Diligence Analytics Director - PwC : Job Details

A career in our fast-paced Deal Analytics practice, a business unit within the PwC deals platform, will provide you with the opportunity to work with top private equity and corporate clients across all sectors on complex and dynamic multi-billion dollar decisions. Each client, deal and situation is unique and the ability to translate data into actionable insights for our clients is crucial to our continued success. The PwC Deal Analytics practice is a blend of deals and consulting professionals with a diverse set of skills and backgrounds including financial, commercial, operational and data science. We support private equity and corporate clients across all phases of the deal lifecycle including diligence, post-deal and preparation for exit / divestiture. Our data-driven approach delivers insights in diligence at deal speed, works with clients to improve performance post-deal and brings a commercial insights lens through the use of third party and alternative data to help inform decisions.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Director, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• 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.
• Look for opportunities to scale efficiencies and new ways of working across multiple projects and environments.
• Create an environment where people and technology thrive together to accomplish more than they could apart.
• Promote and encourage others to value difference when working in diverse teams.
• 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.

Job Requirements and Preferences

Basic Qualifications

Minimum Degree RequiredBachelor Degree

Minimum Years of Experience8 year(s)

Preferred Qualifications

Degree PreferredMaster of Business Administration

Preferred Fields of StudyAccounting, Data Processing/Analytics/Science, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Mathematics, Engineering, Finance

Preferred Knowledge/SkillsDemonstrates thought leader-level abilities of applying business acumen as a team leader by:

• 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.

Demonstrates thought leader-level abilities of applying a range of technical, digital, and other professional capabilities by:

• 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.