Business Intelligence Intern, application via R...
@ RippleMatch Opportunities

Seattle, Washington, United States
On Site
Posted 3 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @ripplematch.com
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Job Details

About RippleMatch Opportunities

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.

RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.

Requirements for the Business Intelligence Intern

  • Currently pursuing a Bachelor’s or Master’s degree in Business, Business Analytics, Business Administration, Information Systems, or a related degree.
  • Basic understanding of business intelligence concepts including data analysis, data warehousing, and data visualization.
  • Strong analytical and problem-solving skills with data-driven project experience.
  • Good organizational and project management skills with the ability to handle multiple tasks.
  • Effective communication skills to bridge business and technical teams.
  • Ability to translate business requirements into non-technical terms and vice versa.
  • Proactive approach to identifying business needs and opportunities through data analysis.
  • Eagerness to learn and stay updated with advancements in business intelligence technologies and practices.

Key skills/competency

Business Intelligence, Data Analysis, Data Visualization, Data Warehousing, Analytical, Communication, Project Management, Organizational, Learning, Proactive

How to Get Hired at RippleMatch Opportunities

🎯 Tips for Getting Hired

  • Research RippleMatch Opportunities: Understand their AI-driven approach and partnerships.
  • Customize Your Resume: Highlight business intelligence and data skills.
  • Showcase Projects: Include examples of data analysis work.
  • Prepare for Interviews: Practice translating technical data into business terms.

📝 Interview Preparation Advice

Technical Preparation

Review data analysis foundations.
Study data visualization tools and techniques.
Understand data warehousing concepts.
Practice SQL and Excel modeling.

Behavioral Questions

Describe a project challenge overcome.
Explain teamwork in data projects.
Discuss handling multiple tasks effectively.
Share proactive learning examples.

Frequently Asked Questions