Job Details
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 40%
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 Associate, 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:
- Use feedback and reflection to develop self awareness, personal strengths and address development areas.
- Delegate to others to provide stretch opportunities, coaching them to deliver results.
- Demonstrate critical thinking and the ability to bring order to unstructured problems.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends.
- Review your work and that of others for quality, accuracy and relevance.
- Know how and when to use tools available for a given situation and can explain the reasons for this choice.
- Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
- Use straightforward communication, in a structured way, when influencing and connecting with others.
- Able to read situations and modify behavior to build quality relationships.
- Uphold the firm's code of ethics and business conduct.
Minimum Degree Required
Bachelor's Degree
Required Field(s) of Study
Computer and Information Science, Management Information
Systems, Mathematics, Statistics, Engineering, Accounting, Finance
Minimum Year(s) of Experience (BQ)
3 year(s)
Degree Preferred
Preferred Fields of Study
Preferred Knowledge/Skills
Demonstrates thorough 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:
- Working on high performing teams preferably in data analytics, consulting, and /or private equity;
- 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;
- Possessing ongoing experience and/or interest in the TMT (Technology, Media, Telecom) sector;
- Working in a dynamic, collaborative environment and working under time sensitive client deadlines;
- 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;
- Leveraging knowledge of performing data ETL (Extract, Transform and Load), and utilizing experience with SQL, Alteryx, Power Query and other agile technologies;
- Working with relational databases;
- Utilizing 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.
The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
