Data Analyst Intern (Summer 2025) – HYBRID

Dolby Laboratories
Job Overview

logoJoin the leader in collaborative licensing and help us advance inclusive and efficient new patent licensing approaches. Via Licensing Alliance is dedicated to accelerating global technology adoption, fostering participation, and generating return on innovation with balanced licensing solutions for innovators and manufacturers of all sizes around the globe. Via LA has operated dozens of licensing programs for a variety of technologies consisting of nearly 50,000 patents in over 130 countries with more than 500 patent holders and nearly 10,000 licensees. Via LA is an independently managed company owned by industry-leading participants with over 25 years of intellectual property licensing leadership.

Via LA’s expertise extends to intellectual property, technology standardization, strategic business development, and program administration. Affiliated specialists in the fields of finance, antitrust law, and patent analysis complete the set of capabilities that make Via LA a premier solutions provider to the world’s most sophisticated technology and entertainment companies. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!

Responsibilities

The Data Analyst Intern will support the sales team with a variety of data-focused projects, including:

Conduct market research and analyze product offerings, sales regions, and shipment trends using both internal and external sources, including 10-K filings from target companies. Enter, clean, compile, and analyze diverse data points related to licensing pipelines. Assisting in the preparation of monthly business reports, including key metrics and actionable insights. Collaborate with cross-functional teams to ensure data accuracy and provide analytical support for strategic decision making.

Qualifications

Strong analytical and problem-solving skills with data driven mindset and attention to detail. Ability to work effectively in a fast-paced environment and manage multiple tasks. Eagerness to learn about technology licensing and quickly grasp new industry concepts. Strong written and verbal communication skills to present findings and collaborate across teams. Advanced knowledge of Microsoft Excel, including pivot tables and complex functions. Experience with large databases and familiarity with Salesforce is preferred. Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.

We recognize that applying to internships can be a daunting process. Even if you do not have previous professional experience to meet the listed qualifications, we will consider relevant project, volunteer, and extracurricular experiences, and we encourage you to include them on your resume and apply.

ELIGIBILITY

Working towards an undergrad degree or MBA with emphasis in Data Science, Business Analytics, Finance, or a related field; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday–Friday for 6 months starting from May/June 2025.

Start date for the internship is as follows: (*note* this date is not flexible)

Monday, May 19, 2025 Monday, June 2, 2025 Monday, June 16, 2025

The San Francisco/Bay Area base hourly range for this internship position is $32-$44/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:

Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

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