PwC Deal Analytics - Director in Denver, Colorado
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 40%
A career in our Deals Data and Analytics practice, within Deals Transaction Services, will provide you with the opportunity to help our clients with the deal process and deliver outstanding services both pre-deal and post-deal from the perspective of mergers and acquisitions data analysis.
As an expert in Deals Data Analytics, you will deal with large volume business data, including performing data extraction, transformation, modelling, data visualisation, benchmarking, and analysis from a merger and acquisition prospective as well as cooperating with other due diligence or post deal service teams to support various deals projects. By means of data analytics, you are expected to utilise various data technology including data visualisation, data mining, big data techniques, to identify key merger and acquisition pre-deal risks and issues to help our clients realise their deal value and continously push their post deal strategy going forward.
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.
I 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.
Additional Responsibilities :
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.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Minimum Years of Experience :
Preferred Qualifications :
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
Preferred Knowledge/Skills :
Our team is a blend of deals and consulting professionals with an ability to work with data and team across our practice to bring targeted commercial and operational insights through a blend of industry specific experience and cutting edge techniques. We are looking for individuals who demonstrate a proven record of success in one or both of the following areas:
Demonstrates thought leader level of knowledge about, and a proven record of success in due diligence roles, preferably in a consulting, investment banking, or private equity investment setting, exhibiting the following traits:
Thought leader level of ability leading high performing teams preferably in data analytics, consulting, and/or private equity;
Thought leader level of ability working with business frameworks to analyze markets and assess company position and performance;
Thought leader level of ability working with alternative data and market data sets to draw insight on competitive positioning and company performance;
Thought leader level of knowledge about financial statements, business cycles (revenue, supply chain, etc.), business diligence, financial modeling, and valuation, etc.;
Thought leader level ability leading projects in a dynamic, collaborative environment and working under time sensitive client deadlines; and,
Thought leader level of ability interacting, communicating, and presenting effectively with external clients and internal firm leadership.
Demonstrates thought leader level of technical capabilities with a proven track record of addressing clients’ strategic needs through the use of advanced technology, data, and analytics, preferably in a consulting, investment banking, or private equity investment setting, exhibiting the following traits:
Thought leader level of ability of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions;
Thought leader level of ability to synthesize insights and recommendations into a tight and cohesive presentation to clients;
Thought leader level of ability and a proven track record of data extraction/transformation, analytics, and visualization approaches and a high degree of data fluency;
Thought leader level of ability and proven skills in the following: Excel, Alteryx, PowerBI, and Tableau;
Thought leader level of ability and a proven track record with leveraging data and business intelligence software to turn data into insights;
Thought leader level of ability working with relational databases / data models; and,
Thought leader level of knowledge about and experience with basic programming, including but not limited to: Python, R, SQL, Matlab, C++, etc.
At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisorydirector.