Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data Analytics
Management Level
Associate
Job Description & Summary
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.
As part of the Deals Analytics Center of Excellence (DA CoE), you will:
- Act as a change agent to drive the digitization agenda within Deals (both from an Analytic and Generative AI (GenAI) perspective).
- Raise awareness of Global Deals digital use-cases and serve as a bridge to the firm's Digital office, including GenAI use cases
- Collaborate with Learning & Development teams and the Global Deals Analytics community to curate bespoke development and upskilling programs.
- Enhance advanced analytics capabilities and stay connected with network firms to leverage knowledge and best practices.
- Develop digital solutions to drive Data & Analytics and GenAI application in client services.
This role offers exciting responsibilities and opportunities for growth. Candidates should confidently identify with the following skills:
Commercial Acumen And Big Picture Thinking
- Experience in strategy, management consulting, corporate finance, or accounting.
- Ability to contribute insights and explain analyses through these lenses.
Analytics Skills And Numerical Reasoning
- Proficiency in manipulating and interpreting large datasets.
- Attention to detail to reconcile results.
- Ability to translate business needs into technical requirements and vice versa.
Client-facing And Communication Skills
- Curiosity and articulation to build rapport with clients.
- Comfort in working directly with partner/executive-level audiences.
- Ability to guide and coach junior and senior consultants.
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.
Responsibilities
As an 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:
- Invite and give in the moment feedback in a constructive manner.
- Share and collaborate effectively with others.
- Identify and make suggestions for improvements when problems and/or opportunities arise.
- Handle, manipulate and analyse data and information responsibly.
- Follow risk management and compliance procedures.
- Keep up-to-date with developments in area of specialism.
- Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
- Build and maintain an internal and external network.
- Seek opportunities to learn about how PwC works as a global network of firms.
- Uphold the firm's code of ethics and business conduct.
Skills, Experience And Qualifications
- Degree in Bachelor's degree in Finance, Business Administration, Data Science, Economics, or a related field.Advanced degrees (MBA, Master's in Data Science) are a plus.
- At least 1 year of experience in data analytics, management consulting, or a related field.
- Proficiency in data analytics tools such as Alteryx and Power BI, including advanced DAX.
- Strong knowledge of Microsoft Suite (Excel, PowerPoint, etc.).
- Familiarity with programming languages such as Python, R, and SQL is advantageous.
- Strong written and verbal communication skills.
- Excellent organizational and time management skills.
- Ability to be accurate and detail-oriented in all tasks.
- Ability to work well with others and independently when needed
Main technologies used in day-to day
The technologies we use day-in and day-out include Alteryx, Power BI (including advanced DAX), Power Query and Power Pivot.
Possession of other languages, such as but not limited to Python, R, and SQL, is advantageous as the DA CoE looks to expand its capabilities toward Advanced Analytics.
Education (if blank, degree and/or field of study not specified)
Degrees/Field Of Study Required
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date 
