Deals – Diligence Analytics Senior Manager
Listed on 2026-01-17
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Business
Data Analyst, Business Systems/ Tech Analyst
Specialty/
Competency:
Deals
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 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 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.
Bachelor Degree
Minimum Years of Experience7 year(s)
Preferred Qualifications Degree PreferredMaster of Business Administration
Preferred Fields of StudyFinance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Accounting, Data Processing/Analytics/Science, Mathematics
Preferred Knowledge/SkillsDemonstrates 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,…
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