Diligence Analytics Senior Manager - Boston, United States - PricewaterhouseCoopers

PricewaterhouseCoopers Boston, United States

1 month ago

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Description

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 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.

Job Requirements and Preferences

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Basic Qualifications

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Minimum Degree Required

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Bachelor Degree

Minimum Years of Experience

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7 year(s)

Preferred Qualifications

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Degree Preferred

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Master of Business Administration

Preferred Fields of Study

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

Preferred Knowledge/Skills

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Demonstrates intimate-level knowledge and/or a proven record of success in the following areas:

Managing high performing teams preferably in deals data analytics, consulting, and /or private equity;
Demonstrating expert level 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; and,
Analyzing or managing transactional, financial and/or accounting data, and statistical methods in support of data analysis.
Demonstrates intimate-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; and,
Possessing knowledge of and having exposure to basic programming
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Python, SQL, or other languages.

Learn more about how 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
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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 based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

For positions in California, Colorado, Hawaii, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information
:

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