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 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:

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm's/client's expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor DegreeMinimum Years of Experience: 4 year(s) Preferred Qualifications: Preferred Fields of Study: Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, AccountingCertification(s) Preferred:

CPA

Preferred Knowledge/Skills:

Demonstrates extensive abilities and/or a proven record of success in executing client engagements and/or projects with business and technical domain knowledge in the following areas:

• Understanding and having success within Deals environment; 
• Managing high performing technical teams, comprising data scientists, database administrators, data analysts, and / or data visualization specialists, etc.;
• Working in a dynamic, collaborative environment and working under time sensitive client deadlines;
• Understanding of financial statements, business cycles (Revenue, supply chain, etc.), business diligence, and valuation, etc.;
• Analyzing or managing accounting, financial, transactional data, and statistical methods in support of data analysis;
• Communicating and presenting in a clear and concise manner; 
• Utilizing previous experience and track record of data extraction/transformation, analytics, and visualization approaches;
• Utilizing a high degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions;
• Utilizing advanced skills in the following: Alteryx, Tableau and Excel;
• Leveraging business intelligence software (e.g. Tableau, PowerBI, Qlik, etc.) to turn data into insights;
• Working knowledge of performing data ETL (Extract, Transform and Load), and experience with SQL, Alteryx, Power Query and other agile technologies;
• Leveraging experience working with relational databases;
• Leveraging experience with basic programming: Python, R, SQL, Matlab, C , etc.; and,
• Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. 

Learn more about how we work: https://pwc.to/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: 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 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.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
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: https://pwc.to/payrange-v1-advisorymanager