Jobs › Companies › PwC › Manager - Deals - Deal Analytics & Value Creation – Bangalore/ Mumbai / Gurgaon

À propos de ce poste Manager - Deals - Deal Analytics & Value Creation – Bangalore/ Mumbai / Gurgaon chez PwC

PwC · Sur site · Bangalore

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Manager - Deals - Deal Analytics & Value Creation you will support deal analytics and value creation work within our Deals practice, helping shape analyses that inform client decisions across transactions and operational improvement efforts. As a Manager you will lead teams, coach junior professionals, manage project workstreams, and bring structured problem solving to complex client needs while applying sound judgment and a clear focus on quality and timelines. In this role at PwC Acceleration Center India, you will work within the Operations and Analytics Diligence & Value Creation area, using data analysis skills to develop insights, prepare deliverables, and support client support engagements across a range of deal-related priorities.

Responsibilities

- Leading deal analytics workstreams by translating transaction questions into data models, dashboards, and clear insights
- Managing project timelines, work allocation, and deliverables across multiple client engagements
- Directing complex data analysis using SQL-based extracts, Excel, Power BI, Tableau, Alteryx, and Power Query
- Interpreting business data to identify revenue drivers, cost patterns, operational risks, and value creation opportunities
- Developing analytical frameworks that support diligence, performance improvement, and scenario modeling
- Reviewing team outputs for accuracy, logic, and consistency before client delivery
- Coaching junior team members on data preparation, analysis methods, visualization design, and presentation structure
- Creating concise reports and visual stories that translate technical findings into actionable business recommendations
- Applying research techniques to gather market, company, and transaction data for comparable analysis
- Automating recurring analysis and reporting processes to improve speed and repeatability
- Using AI tools and advanced analytics methods to streamline research and generate new insight paths
- Building trusted relationships with client stakeholders by clarifying needs and presenting findings in a clear, direct manner

What You Must Have

- At least a Bachelor's degree
- At least 7 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- Certification in Databricks, MS SQL, Power BI, AWS, Azure, GCP, Python, or SAS
- Demonstrating deal analytics experience across valuation and value creation workstreams
- Utilizing Power BI, Tableau, Alteryx, or Power Query for dashboard creation
- Translating complex data analysis into actionable client insights
- Mentoring teams through analytics delivery and research projects

Travel Requirements

Not Specified

Job Posting End Date

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À propos de PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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