Manager – Deals - Deal Analytics & Value Creation

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Manager

Job Description & Summary

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 delivering data-driven diligence analytics, such as revenue and customer analytics

(cohorts, retention/churn, price-volume-mix), margin and cost analysis, and KPI benchmarking

•

Exposure to working capital analysis (receivables, payables and inventory) is a plus

•

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 transforming large, raw client datasets (ERP extracts, data room files) into

clean, reconciled datasets, models and dashboards at deal speed

•

Proven skills in Alteryx, Advanced Excel and PowerBI (including visualization and DAX); SQL /

Python is a plus

•

Strong quality-review mindset: reconciling outputs to client financials and reviewing team

workflows and dashboards for accuracy

•

Experience working on GenAI / large language models (LLMs) is a good to have•

Exposure to big data and machine learning concepts is a plus

•

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

•

Experience identifying and sizing value creation levers (e.g. pricing, cost, working capital) and

tracking delivery of benefits post-deal

•

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

Travel Requirements

Not Specified

Job Posting End Date