The Data Analyst will play a key role in analyzing operational data to improve Quality Verification strategies. You should be a sharp, curious, and analytic individual who has a passion for diving into data to solve business problems. Your insights will influence how we build and verify the quality of ours games

Requirements

Requirements

  • Education, knowledge or analytical experience
    • Computer Science, Statistics, Engineering, Mathematics, Operations Research, etc.)
  • Visual aptitude for displaying results in a meaningful matter
  • Understanding of a programming language (R, PHP, or Python)
  • Strong data visualization techniques for building dashboards, charts, and reports
  • Ability to present results to clients in clear and concise manner
  • Self-motivated and self-driven, with demonstrated ability to learn new concepts quickly and independently
    • Knowledge of how to analyze data – ideally with some background in math and statistics
  • Some MS Office exp. (Excel, Word, Outlook, etc.)
    • Including VBA, PivotTables, and array functions
    • Power BI and/or Tableau experience a bonus
  • Good working knowledge of SQL queries for data retrieval
  • Capability to understand and present data in a visual way with knowledge of tools for reporting – includes understanding metrics and KPIs
  • Work well in a team and communicate with various levels of the organization

Daily/weekly tasks

  • Receives questions from internal customers, understands the questions, and determines the data needed to answer them with supervision & support
  • Manage assigned work using project tools and working with the leadership team
  • Imports, transforms and cleanses data from a variety of sources
  • Defines data model for cleaned data to create highly structured, reproducible and analyzable data sets
  • Provide data visualization by building dashboards, charts, and reports that do not require manual updates
  • Perform quality assurance on generated results to ensure accuracy and consistency
  • Builds strong relationships across the data analyst community, to share knowledge and learn from others
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