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Customer Analytics Intern Jobs in Seattle, WA (NOW HIRING)

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Customer Analytics Intern information

What does a customer analytics intern do?

A Customer Analytics Intern supports the analysis of customer data to help businesses understand customer behaviors, preferences, and trends. They often use tools like Excel, SQL, or data visualization software to prepare reports and generate insights that inform marketing, sales, and product strategies. Their work may involve data cleaning, conducting basic statistical analysis, and presenting findings to the team. This role provides practical experience in data analysis and business decision-making.

What skills and qualifications are needed to thrive as a customer analytics intern?

To thrive as a Customer Analytics Intern, you need a solid grounding in data analysis, statistics, and business fundamentals, often supported by coursework in analytics or a related field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns present actionable insights and collaborate with teams. These skills are crucial for translating complex data into strategic recommendations that drive customer-focused business decisions.

What is the difference between Customer Analytics Intern vs Data Analyst Intern?

AspectCustomer Analytics InternData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in marketing, business, or analyticsOften pursuing or recent graduate in statistics, mathematics, or data science
Work EnvironmentCustomer-focused teams, marketing, sales, or product departmentsData-focused teams, IT, or analytics departments
Industry UsageRetail, e-commerce, finance, and consumer servicesTechnology, finance, healthcare, and consulting
Search & Comparison IntentUnderstanding roles in customer insights and marketing analyticsUnderstanding roles in data analysis and reporting

The Customer Analytics Intern focuses on analyzing customer data to improve marketing strategies and customer experience, often working closely with marketing teams. In contrast, the Data Analyst Intern handles broader data sets across various departments, emphasizing data processing, visualization, and reporting. Both roles require analytical skills but differ in their focus areas and industry applications.

What job categories do people searching Customer Analytics Intern jobs in Seattle, WA look for?

The top searched job categories for Customer Analytics Intern jobs in Seattle, WA are:

Infographic showing various Customer Analytics Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Deals - Diligence Analytics Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Seattle, WA โ€ข On-site

$29.25 - $48/hr

Full-time

Posted 5 days ago


Key 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

  • Assisting in the creation and maintenance of data visualization dashboards


Job description

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Intern/Trainee

Job Description & Summary

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

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The 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 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: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor 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.