Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
DealsManagement Level
ManagerJob Description & Summary
About PwC:Job Description:
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 your comfort zone.
Act to resolve issues which prevent the team working effectively.
Coach others, recognize their strengths, and encourage them to take ownership of their personal development.
Analyze 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 summarizing key points.
Uphold the firm's code of ethics and business conduct.
Preferred Fields of Study/Experience:
Master's degree from a reputed institute in Data Science, Data Analytics, Finance, Accounting, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Mathematics
A total of 7-10 years of work experience in analytics consulting and/or transaction services with top consulting organizations
Preferred Knowledge/Skills:
Our team is a blend of deals and consulting professionals with an ability to work with data and teams across our practice to bring targeted commercial and operational insights through industry-specific experience and cutting-edge techniques. We are looking for individuals who demonstrate knowledge and a proven record of success in one or both of the following areas:
#### Business
Experience leading high-performing teams preferably in data analytics, consulting, and/or private equity
Experience working with business frameworks to analyze markets and assess company position and performance
Experience working with alternative data and market data sets to draw insight on competitive positioning and company performance
Deep understanding of financial statements, business cycles (revenue, supply chain, etc.), business diligence, financial modeling, valuation, etc.
Experience leading projects in a dynamic, collaborative environment and working under time-sensitive client deadlines
Strong communication and proven presentation skills
Understanding of various facets of mergers, integrations, spin-offs and/or divestiture transactions, including options analyses and recommendations
Experience assisting clients with strategic planning and business reviews; growth, market entry and international expansion; and market opportunity sizing
Experience that cuts across the entire Deals Cycle
#### Technical
High degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions
Ability to synthesize insights and recommendations into a tight and cohesive presentation to clients
Proven track record of data extraction/transformation, analytics, and visualization approaches and a high degree of data fluency
Proven skills in the following preferred: Alteryx, Python, Advanced Excel, PowerBI (including visualization and DAX)
Experience working on GenAI / large language models (LLMs) is a good to have
Experience in big data and machine learning concepts
Strong track record with leveraging data and business intelligence software to turn data into insights
Experience working with relational databases / data models
#### Value Creation Elements
Experience in developing comprehensive value creation plans for private equity portfolio companies
Ability to draw on strategic, operational, organizational, and technology experience to deliver actionable advice
Experience in pre-acquisition operations due diligence and product & technology due diligence
Experience in post-acquisition growth strategy, operations strategy, technology strategy, business transformation, and M&A operations
Ability to collect and utilize relevant business and industry trend information and analyze this information effectively by applying numerical and strategic analysis techniques
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, Coaching and Feedback, 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 {+ 43 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date