Deals Diligence Analytics Manager

The Opportunity

As a Deals Diligence Analytics Manager, you will engage with top private equity and corporate clients across various sectors, assisting them in making informed, multi-billion dollar decisions. Within our Deals practice, you will leverage your analytical skills to transform data into actionable insights, supporting clients throughout the deal lifecycle, from diligence to post-deal performance improvement and exit preparation. This role offers a unique opportunity to work in a dynamic environment where each client and situation presents distinct challenges and opportunities.

• Leading data-driven diligence and value creation initiatives for private equity and corporate clients
• Managing complex data analysis to translate insights into actionable recommendations
• Utilizing tools such as Alteryx, Power BI, and Tableau to enhance data visualization and reporting
• Developing predictive models and conducting scenario analysis to support strategic decision-making
• Building and maintaining data pipelines and warehouses to support analytics frameworks
• Overseeing data quality improvement plans and validating data integrity and security
• Coaching team members to leverage their strengths and develop their skills in data analytics
• Collaborating with stakeholders to identify opportunities for optimizing data utilization and improving business performance
• Simplifying complex messages and summarizing key points for effective communication with clients and teams

• At least a Bachelor's degree
• At least 4 years of experience

• 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 proficiency in Alteryx and Tableau for data analysis
• Utilizing advanced data visualization skills to drive insights
• Excelling in complex data analysis and predictive modeling
• Managing data-driven projects with a focus on client outcomes
• Leading teams in developing innovative data solutions

The salary range for this position is: $99,000 - $232,000. 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.

• 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: (Use the "Apply for this Job" box below).-glance

As PwC is anequal 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: .

Learn more about how we work: -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.