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Marvell

High-performance semiconductor solutions for data infrastructure

Business Planning System Analyst Intern

Data Engineering +1Confirmed live in the last 24 hours
Internship · Summer 2026SingaporeNo salary listedIn-person

About the Job

Requirements

  • Currently pursuing a degree in Business Intelligence, Data Analytics, Digital/Business Transformation, Automation, or a related field.
  • Familiarity with data handling tools such as Power BI, SQL, and Python in business intelligence applications.
  • Understanding of database management and data analysis principles.
  • Strong communication and collaboration skills, with a humble and proactive attitude.

Responsibilities

  • Assist in developing and enhancing data pipelines and dashboards.
  • Support data analysis initiatives to improve business decision-making.
  • Collaborate with cross-functional teams to complete data modeling and/or dashboarding projects.
  • Contribute to documentation and knowledge-sharing teams.
  • Use Claude, Glean, or other frontier/agentic tools to perform the work above.

About the Company

Marvell

High-performance semiconductor solutions for data infrastructure

Marvell Technology, Inc. creates high-performance semiconductor products that power data infrastructure for telecommunications operators, data centers, and enterprises. Its offerings span computing, storage, and networking to enable efficient, secure data transmission, storage, and processing. The products are programmable and scalable platforms designed for high bandwidth and strong security, supporting 5G networks and the broader digital economy. Revenue comes from designing, manufacturing, licensing, and providing related services to other businesses that integrate these components into their own products. Unlike many peers, Marvell emphasizes programmable, scalable platforms tailored to data infrastructure needs and long-term partnerships with enterprise and telecom customers. The company aims to help customers upgrade their networks and data systems to increase capacity, performance, and efficiency while expanding its own business in the data infrastructure space.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1995

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