2026 Summer Internship- Client Success Data Summer Intern
About The Position
What if you could spend your summer solving meaningful problems with data? At LPL Financial, our Client Analytics team transforms complex information into insights that drive business decisions. As a Summer Intern, you'll gain hands-on experience with real datasets, modern analytics tools, and a team that values curiosity, innovation, and learning. If you're ready to explore a career where analytics meets impact, discover what's possible with LPL Financial. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial. Job Overview: You will join the Client Growth Analytics team and will support by pulling, cleaning, analyzing, and visualizing data to help generate insights into client behavior and business performance. This role is ideal for an early-career analytics student who enjoys solving problems, working with data, and learning new analytical tools. You will work closely with analysts and data scientists while gaining exposure to Tableau, Python, and general business analytics practices. The ideal candidate should be local to the San Diego office during the time of the internship and will work on a hybrid schedule.
Requirements
- Currently enrolled in an Undergraduate degree program in Data Analytics, Statistics, Economics, Computer Science, or a related field with an expected graduation date of December 2026 or May 2027
- Interest in the financial services industry
- Basic experience working with data using tools like Excel, SQL, or Python
- Familiarity with data visualization concepts (Tableau experience preferred but not required)
- Strong analytical thinking and problem-solving skills
- Ability to communicate findings clearly in both written and verbal form
- Offer is contingent upon successful background screening and agreement to be local to San Diego, CA Office
- Curiosity and willingness to learn new tools
- Attention to detail when working with datasets
- Ability to break down ambiguous problems into structured steps
Nice To Haves
- Tableau experience preferred but not required
Responsibilities
- Pull, clean, and prepare datasets from internal data sources
- Perform exploratory data analysis to identify trends and patterns
- Create dashboards and visualizations in Tableau
- Assist in building lightweight Python analyses in Jupyter notebooks (e.g., descriptive statistics, data cleaning, simple models)
- Document processes, data definitions, and findings for team use
- Collaborate with team members to support ongoing analytics projects
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
