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PwC Deal Analytics - Senior Manager in Denver, Colorado

Specialty/Competency: Deals

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 Senior Manager, 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:

  • Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.

  • Deal effectively with ambiguous and unstructured problems and situations.

  • Initiate open and candid coaching conversations at all levels.

  • Move easily between big picture thinking and managing relevant detail.

  • Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.

  • Contribute technical knowledge in area of specialism.

  • Contribute to an environment where people and technology thrive together to accomplish more than they could apart.

  • Navigate the complexities of cross-border and/or diverse teams and engagements.

  • Initiate and lead open conversations with teams, clients and stakeholders to build trust.

  • 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 :

Bachelor Degree

Minimum Years of Experience :

7 year(s)

Preferred Qualifications :

Preferred Fields of Study :

Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Accounting, Data Processing/Analytics/Science, Mathematics

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 the following:

Demonstrates intimate knowledge of, 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:

  • Intimate level of ability with leading high performing teams preferably in data analytics, consulting, and /or private equity;

  • Intimate level of ability working with business frameworks to analyze markets and assess company position and performance;

  • Intimate level of ability working with alternative data and market data sets to draw insight on competitive positioning and company performance;

  • Intimate knowledge of financial statements, business cycles (revenue, supply chain, etc.), business diligence, financial modeling, and valuation, etc.;

  • Intimate level of ability leading projects in a dynamic, collaborative environment and working under time sensitive client deadlines; and,

  • Intimate level of ability interacting, communicating, and presenting effectively with external clients and internal firm leadership.

Demonstrates intimate 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:

  • Intimate level of ability of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions;

  • Intimate level of ability to synthesize insights and recommendations into a tight and cohesive presentation to clients;

  • Intimate level of ability and a proven track record of data extraction/transformation, analytics, and visualization approaches and a high degree of data fluency;

  • Intimate level of ability in the following: Excel, Alteryx, PowerBI, and Tableau;

  • Intimate level of ability and a proven track record of leveraging data and business intelligence software to turn data into insights;

  • Intimate level of ability working with relational databases/data models; and,

  • Intimate level of knowledge 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/coloradoadvisoryseniormanager.

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