Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics

Management Level

Senior 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.

  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:

  • 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 5 years of experience in data analytics, M&A, strategy, 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.

  • Demonstrable experience in having developed strong commercial awareness to analyze business context and performance and understand key business drivers

  • An entrepreneurial track record, to identify client needs and devise commercial propositions in the absence of precedent or guidance

  • 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.

Skills, experience and qualifications

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

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date