Business Analyst Intern

Pacific Gas And Electric CompanyDublin, CA
1d$25 - $35Hybrid

About The Position

This position will be a team member of the Reliability Analytics & Reporting team whose roles include: External & internal data and metric reporting “Single source of truth” outage data expertise and quality Handling, building, and querying large datasets Analysis and visualization of data trends Communication of key findings for decision making PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. The hourly rate for this position ranges from $24.52 to $35.37

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Business Administration, Accounting, Finance, Engineering, Economics, Data Science, Statistics or related field in a full-time capacity at an accredited university
  • Students must be continuing their education towards degree during and after the internship

Nice To Haves

  • 3.0 GPA or greater in both cumulative GPA and major GPA
  • Ability to work in a team environment and support fellow team members
  • Proficient with Microsoft Outlook, Word, Excel, and PowerPoint
  • Familiar or proficient with Python, Relational Database, SQL
  • Experience performing data cleansing, data manipulation, or data transformations
  • Detail oriented, with familiarity or experience performing data quality and accuracy reviews
  • Ability to manage multiple tasks and meet deadlines in a structured environment
  • Organized, forward looking, and process-oriented
  • Strong problem solving and analytical skills
  • Strong communication skills, both oral and written

Responsibilities

  • Building of scalable data programs
  • Building automated data solutions including objectives such as simple and complex calculations, archiving of large data sets, and automated data controls and quality checks
  • Optimizing multiple existing data tables/dashboards into single sources that can meet multiple needs
  • Supporting large scale weekly routine reporting processes
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