INTERNSHIP DETAILS

Business Intelligence Intern, Power BI & Analytics

CompanySeagate Technology
LocationSingapore
Work ModeOn Site
PostedFebruary 27, 2026
Internship Information
Core Responsibilities
The intern will design, build, and enhance Power BI dashboards and reports to support business and operational insights using curated datasets from the enterprise data warehouse. This role involves collaborating with business users to understand requirements and partnering with IT teams regarding data structures and governance.
Internship Type
full time
Company Size
16497
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Seagate is a leader in mass-capacity data storage. We’ve delivered more than four and a half billion terabytes of capacity over the past four decades. We make storage that scales, bringing trust and integrity to innovations that depend on data. In an era of unprecedented creation, Seagate stores infinite potential. Unlock the full value of your data today.
About the Role

About our group:

The Products, Supply and Demand Operations drives product and supply/demand decisions across the factories to attain the business goals. We collaborate with Design Center, PLM and Sales Ops to launch products and optimize the ramp to maximize supply response to available demand.

About the role - you will:

We are seeking a motivated and detail‑oriented intern to join our team as a Business Intelligence Intern. This internship offers hands‑on experience in data analytics, Power BI dashboard development, and cross‑functional collaboration with IT and business users. The successful candidate will support the design, development, and deployment of Power BI dashboards using data from our enterprise data warehouse.

  • Dashboard Development: Design, build, and enhance Power BI dashboards and reports to support business and operational insights.
  • Data Modeling & Analysis: Work with curated datasets from the enterprise data warehouse to perform data validation, analysis, and basic data modeling.
  • Business Partnership: Collaborate with business users to understand reporting requirements, KPIs, and use cases, and translate them into effective visual solutions.
  • IT Collaboration: Partner with IT and data engineering teams to understand data structures, data refresh processes, and data governance standards.
  • Visualization Best Practices: Apply Power BI visualization best practices to ensure dashboards are clear, intuitive, and actionable.
  • Documentation: Document dashboard logic, data definitions, and business assumptions in a clear and organized manner.
  • Process Improvement: Support continuous improvement of reporting processes, dashboard performance, and user adoption.
  • Ad Hoc Analysis: Assist with ad hoc data analysis and special analytics projects as needed.

About you:

  • Strong analytical and problem-solving skills.
  • Comfortable working with both technical (IT/data) and non-technical (business) stakeholders.
  • Detail-oriented with the ability to manage tasks independently.
  • Curious, eager to learn, and adaptable in a data-driven environment.

Your experience includes:

Your experience includes:

  • Currently pursuing a Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, Business, or a related field
  • Familiarity with Power BI (DAX knowledge is a plus but not required)
  • Basic understanding of databases, SQL, or data warehouse concepts is an advantage
  • Interest in data analytics, business intelligence, and dashboarding

 

Why Join Us:

  • Learning Opportunities: Gain hands‑on experience building real Power BI dashboards used by business stakeholders
  • Cross‑Functional Exposure: Work closely with IT, data engineering, and business teams to understand end‑to‑end analytics delivery.
  • Professional Growth: Develop practical skills in data visualization, analytics, and stakeholder communication through meaningful projects.

Location:

 

Location: Woodlands, Singapore, W3
Travel: None

Key Skills
Power BIData AnalyticsData ModelingData ValidationVisualization Best PracticesSQLDAX
Categories
Data & AnalyticsSoftwareTechnologyManufacturing