Analyzes large datasets to identify insights supporting mergers, acquisitions, diligence, and value creation decisions. Develops data models, dashboards, visualizations, and statistical or predictive analyses; cleanses and validates data; uses Python, SQL, Alteryx, Power BI, or Tableau; researches client and market information; documents findings; and collaborates with senior team members on project deliverables.
The Opportunity
As a Deal Data Technology & Analytics, Experienced Associate you will help clients use data to inform business decisions, drawing on advanced analytics, data manipulation, visualization, and statistical modeling within our Deals practice. As an Associate you will learn and contribute to project tasks, adapt to changing client needs and team priorities, ask questions to build your skills, and take ownership of your work while delivering reliable support in a fast-paced environment. In this role at PwC, you will assist with extracting insights from large data sets, support analysis that helps address complex business issues, and develop your technical knowledge across data and analytics work in M&A engagements.
Responsibilities
- Analyzing large datasets to identify trends, patterns, and insights that support deal and transaction decisions
- Developing data models, dashboards, and visualizations that translate complex findings into clear business outputs
- Performing data cleansing, transformation, and validation activities across multiple sources and formats
- Using Python, SQL, Alteryx, Power BI, or Tableau to organize, automate, and present analytical work
- Supporting financial and operational analyses for mergers, acquisitions, diligence, and value creation projects
- Conducting research and interpreting information from client materials, market sources, and internal data sets
- Applying statistical techniques and predictive methods to address business questions and testing assumptions
- Documenting methods, findings, and recommendations in concise reports and presentation materials
- Collaborating with senior team members to track deliverables, raise data issues, and adapt to changing project needs
What You Must Have
- At least a Bachelor's degree
- At least 1 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)
- Applying coursework or internship experience in data analysis or technology
- Demonstrating familiarity with deal data, financial data, or transaction support
- Using SQL, Python, or visualization tools to organize findings
- Adapting quickly across clients, teams, and shifting project needs
The salary range for this position is: $63,000 - $140,000. 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.
As a Deal Data Technology & Analytics, Experienced Associate you will help clients use data to inform business decisions, drawing on advanced analytics, data manipulation, visualization, and statistical modeling within our Deals practice. As an Associate you will learn and contribute to project tasks, adapt to changing client needs and team priorities, ask questions to build your skills, and take ownership of your work while delivering reliable support in a fast-paced environment. In this role at PwC, you will assist with extracting insights from large data sets, support analysis that helps address complex business issues, and develop your technical knowledge across data and analytics work in M&A engagements.
Responsibilities
- Analyzing large datasets to identify trends, patterns, and insights that support deal and transaction decisions
- Developing data models, dashboards, and visualizations that translate complex findings into clear business outputs
- Performing data cleansing, transformation, and validation activities across multiple sources and formats
- Using Python, SQL, Alteryx, Power BI, or Tableau to organize, automate, and present analytical work
- Supporting financial and operational analyses for mergers, acquisitions, diligence, and value creation projects
- Conducting research and interpreting information from client materials, market sources, and internal data sets
- Applying statistical techniques and predictive methods to address business questions and testing assumptions
- Documenting methods, findings, and recommendations in concise reports and presentation materials
- Collaborating with senior team members to track deliverables, raise data issues, and adapt to changing project needs
What You Must Have
- At least a Bachelor's degree
- At least 1 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)
- Applying coursework or internship experience in data analysis or technology
- Demonstrating familiarity with deal data, financial data, or transaction support
- Using SQL, Python, or visualization tools to organize findings
- Adapting quickly across clients, teams, and shifting project needs
The salary range for this position is: $63,000 - $140,000. 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.
PwC San Francisco, California, USA Office
405 Howard Street Suite 600, San Francisco, CA, United States, 94105
PwC San Jose, California, USA Office
488 Amaden Boulevard, San Jose, CA, United States, 95110
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