Deals - Diligence Analytics Intern - Summer 2027

Posted Yesterday
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18 Locations
Hybrid
29K-48K Hourly
Internship
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Supports client-facing diligence analytics projects by gathering, integrating, and analyzing data; developing data-driven insights; creating dashboards and reports; conducting research and data mining; contributing to algorithm development; and preparing presentations. The intern uses Alteryx and Power BI, collaborates with advisory teams, and gains exposure to cloud platforms, data architecture, data science, and AI applications.
Summary Generated by Built In
The Opportunity
As a Deals - Diligence Analytics Intern, you will engage in data analysis and support client-facing projects within our Advisory practice. This role offers a unique chance to immerse yourself in the world of data and analytics, where you will assist in gathering and analyzing data to provide valuable insights for our clients. You will be part of a dynamic team that guides clients towards sustainable growth and competitive advantage in today's dynamic market.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams by performing basic tasks and conducting research, all while observing professional work environments. This role emphasizes the importance of taking both observational and participatory roles on teams, allowing you to develop your personal brand and contribute to project goals.
In this role at PwC, you will have the opportunity to work on a variety of assignments, each presenting different challenges and scope. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team's success. This experience will pave the way for more opportunities as you start to establish your personal brand.
Responsibilities
- Supporting teams in data analysis projects to gain exposure to PwC's practices
- Participating in the development of data-driven insights to assist client decision-making
- Conducting research and gathering information to enhance data analysis processes
- Assisting in the creation and maintenance of data visualization dashboards
- Engaging in algorithm development to solve analytical problems
- Utilizing tools like Alteryx and Power BI for data processing and visualization
- Collaborating with team members to integrate data from various sources
- Applying data mining techniques to identify patterns and trends in large datasets
- Contributing to the preparation of analytical reports and presentations
- Observing and learning from experienced professionals to develop personal skills and knowledge
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data-driven insights and analytics solutions
- Participating in cloud platform design and data architecture projects
- Observing and learning from PwC's advisory consultants in dynamic markets
- Developing skills in data science and artificial intelligence applications
The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
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

  • Currently pursuing or have completed a Bachelor's degree
  • Traditionally in the third year of a four-year degree program or fourth year of a five-year degree program
  • Preferred field of study in Business Analytics, Computer Information Systems, Computer Programming, Data Processing, Analytics, Data Science, Industrial and Systems Engineering, Industrial and Operations Engineering, Informatics, Information Science, Information Systems, Information Technology, or Management Information Systems
  • Cumulative GPA of 3.3
  • Major GPA of 3.3

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Parental & Family Support Parental and caregiving benefits are described as extensive, with paid leave for all parents, adoption/surrogacy support, backup child/elder care, and nursing‑parent resources. This breadth signals a family‑forward package that supports a wide range of life stages.
  • Healthcare Strength Health coverage offers multiple medical plan options with pharmacy, One Medical primary care, digital physical therapy, and mental‑health resources such as Headspace, Calm, Talkspace, and EAP. The mix of preventive, primary, and specialty programs suggests strong overall coverage.
  • Retirement Support Retirement programs include a firm‑funded Wealth Builder plan alongside a 401(k) with company matching, plus financial coaching and a student‑loan paydown program. This dual‑vehicle approach provides baseline employer funding with additional savings support.

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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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