Deals - Diligence Analytics Senior Manager

Reposted 2 Days Ago
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3 Locations
Hybrid
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Lead complex data analysis for private equity and corporate deals across diligence, post-deal, and exit phases. Use advanced analytics, predictive modeling, and visualization tools to generate insights, improve data quality, collaborate with stakeholders, and coach teams to deliver strategic, data-driven recommendations at deal speed.
Summary Generated by Built In
The Opportunity
As a Deals - Diligence Analytics Senior Manager, you will engage with top private equity and corporate clients across various sectors, translating complex data into actionable insights that drive multi-billion dollar decisions. Within our Deals practice, you will be part of a dynamic team that supports clients throughout the deal lifecycle, from diligence to post-deal performance improvement and preparation for exit or divestiture. Your role will involve leveraging data-driven approaches to deliver insights at deal speed, enhancing client performance and decision-making.
As a Senior Manager, you will lead large projects and innovate processes, focusing on achieving results and maintaining operational excellence. You will interact with clients at a strategic level, driving overall project success. Growing as a strategic advisor, you will leverage your skills and professional networks to deliver quality results. You will motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to develop and sustain high-performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our firm.
Responsibilities
- Leading complex data analysis projects to support private equity and corporate clients in making informed decisions
- Translating data into actionable insights during all phases of the deal lifecycle, including diligence, post-deal, and exit preparation
- Utilizing advanced data analytics tools such as Alteryx, Power BI, and Tableau to enhance data visualization and reporting capabilities
- Developing and implementing data quality improvement plans to maintain data integrity and security
- Conducting exploratory data analysis and predictive modeling to identify trends and opportunities for performance improvement
- Collaborating with cross-functional teams to navigate the complexities of diverse engagements and build trust with stakeholders
- Initiating open conversations with teams and clients to foster a collaborative environment and drive strategic solutions
- Applying strategic questioning and analytical thinking to anticipate stakeholder needs and propose innovative solutions
- Validating outcomes with clients and incorporating feedback to refine data-driven strategies and enhance client satisfaction
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating advanced skills in complex data analysis and modeling
- Navigating cross-border teams and engagements with ease
- Initiating and leading open conversations to build trust
- Contributing technical knowledge in data analytics and business strategy
- Anticipating stakeholder needs and developing proactive solutions
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Skills Required

  • Bachelor's degree
  • At least 6 years of experience
  • Preferred fields of study: Accounting, Engineering, Data Analytics/Science, Computer and Information Science, Economics, Finance
  • Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
  • Advanced skills in complex data analysis and modeling
  • Experience navigating cross-border teams and engagements
  • Ability to initiate and lead open conversations to build trust with stakeholders
  • Contribute technical knowledge in data analytics and business strategy and anticipate stakeholder needs

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Healthcare Strength Multiple medical plan options with integrated programs, mental-health apps, and primary care access indicate robust coverage. Fitness partnerships and specialized care navigation further broaden support.
  • Parental & Family Support Paid parental leave for all parents with a phased return, plus fertility, adoption, and surrogacy support, underscore strong family-forming benefits. Backup caregiving resources and caregiver leave extend support beyond new-parent needs.
  • Leave & Time Off Breadth Two firmwide U.S. shutdowns alongside vacation, holidays, and various paid leaves create predictable time-off opportunities. Additional paid and unpaid leave options offer flexibility for different life events.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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