Opportunities · Part-time opportunity
Deals - DTDS - Analytics Intern - Summer 2027
PwC · 14 Locations
Dates for this one
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Posted
Aug 31, 2026
Applications close
Sep 26, 2026
26 days left
What matters in this listing
What you'll own
- You will engage in data analysis tasks, leveraging your skills to support strategic decision-making and drive innovation.
- You will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients.
- 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
Requirements and eligibility
- 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
Preferred, not required
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
Read the full listing context
Industry/Sector Not Applicable Specialism Deals Management Level Intern/Trainee Job Description & Summary 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 Travel Requirements Up to 80% Job Posting End Date September 26, 2026 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.
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