Internship -Business Intelligence Analyst

Monster EnergyCorona, CA

About The Position

The Business Intelligence Intern will support the development and implementation of business intelligence solutions, focusing on data integrity, data analysis, reporting, and system integration. This hands-on internship provides an opportunity to work with cross-functional teams and gain valuable CPG industry experience.

Requirements

  • 2nd or 3rd year student working towards bachelor’s degree in computer science or information systems
  • Strong knowledge of BI tools (e.g., Power BI, Sales Force ) and data visualization techniques.
  • Proficiency in SQL and experience with database management systems.
  • Knowledge of Forecasting / Finance/ Accounting/ or Data Analysis experience
  • Strong analytical, quantitative, problem solving, and organizational skills; attention to detail; and ability to coordinate multiple tasks, set priorities, and meet deadlines.
  • Advanced Proficiency in Excel, Word, and PowerPoint
  • Strong communication skills and ability to work independently and collaboratively with stakeholders.
  • Excellent verbal and written communication skills

Responsibilities

  • Developing Power BI solutions maintaining Power BI dashboards and reports that provide actionable insights to the business. This includes designing data models, creating visualizations, and ensuring data accuracy.
  • Work across multiple reporting systems and departments to extract and cleanse data, perform analyses, and make strategic recommendations.
  • Data testing and validation to ensure its accuracy and integrity before it is integrated into new systems. This involves working with various data sources and ensuring that the data meets business requirements.
  • Data analysis and reporting to identify trends, patterns, and insights that can help in decision-making processes. This includes preparing reports and presenting findings to stakeholders.
  • Documentation and process improvement methodologies, and solutions. Continuously seek opportunities to improve data processes and systems for greater efficiency and effectiveness.
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