Deals - DTDS - 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 data analysis projects in PwC’s Advisory practice, researching datasets, identifying patterns, integrating data, and creating dashboards and visualizations with Alteryx and Power BI. Assists with algorithm development, analytics automation, and data-driven insights for clients. The internship emphasizes learning PwC methodologies, collaborating with experienced professionals, and gaining exposure to AI, cloud platform design, and data architecture.
Summary Generated by Built In
The Opportunity
As a Deals - DTDS - Analytics Intern, you will immerse yourself in the dynamic world of data and analytics, contributing to client support initiatives within our Advisory practice. You will engage in data analysis tasks, leveraging your skills to support strategic decision-making and drive innovation. As an Intern, you will focus on learning and gaining exposure to PwC's methodologies, supporting teams with basic tasks, and participating in projects that enhance your understanding of data-driven insights. This role emphasizes the importance of adopting a learning mindset, appreciating diverse perspectives, and actively listening to enhance your development.
In this role at PwC, you will have the opportunity to work within our Advisory practice, where you will be involved in analyzing data to uncover patterns and trends that inform business strategies. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients. Your contributions will be integral to the team's success, and you will start to establish your personal brand, paving the way for future opportunities. This position offers a unique chance to develop your skills in data analysis and gain valuable experience in a professional environment.
Responsibilities
- Supporting teams in data analysis projects to gain exposure to PwC's practices and methodologies
- Participating in the development of data-driven insights to assist clients in achieving sustainable growth
- Conducting research and gathering information to enhance understanding of complex data sets
- Utilizing tools like Alteryx and Power BI to automate analytics processes and create visualizations
- Engaging in algorithm development to translate business problems into computational solutions
- Assisting in the creation of dashboards to represent key performance indicators and business metrics
- Applying data mining techniques to identify patterns and trends within large data sets
- Collaborating with team members to integrate data from various sources for unified analysis
- Observing and learning from experienced professionals to develop personal brand and commercial awareness
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 experienced data analysts and AI specialists
- Applying a learning mindset to develop skills in data analysis and AI
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
  • Typically in the third year of a four-year degree program or fourth year of a five-year program for client service internships
  • Preferred field of study in Business Analytics, Computer Information Systems, Computer Programming, Data Analytics or Science, Industrial Engineering, Informatics, Information Science, Information Systems, Information Technology, or Management Information Systems
  • Preferred cumulative GPA of 3.3
  • Preferred 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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