Demo

Business Intelligence Analyst

TOOGANN TECHNOLOGIES
Auburn, MI Full Time
POSTED ON 4/9/2025
AVAILABLE BEFORE 5/8/2025
Description

  • The Business Intelligence Analyst will work alongside product and software developer partners to put science into decision making. Responsibilities include but not limited to:
    • Designing, building and maintaining product/ feature health metrics and monitoring visualizations
    • Working closely with software designers and engineering stakeholders to answer mission-critical questions
    • Make recommendations by translating data into insights through retrospective analysis of key metrics
    • Advice on data instrumentation needs and work with data engineering to ensure successful implementation
    • Deliver presentations on analysis results and recommendations to both technical and non-technical audiences
    • Build trusted relationships with the software, hardware and product teams acting as a conduit of knowledge
  • Top Performers will be able to demonstrate:
    • Measurable consumer engagement impact through analysis, retrospective analysis or products built
    • Measurable revenue impact through research and retrospective analysis
    • Measurable consumer experience impact through analysis, retrospective analysis or products built
    • Measurable efficiencies in products, tools and agile development processes
    • Qualitative and quantitative deductions from experimentation that lead to product optimization
Requirements

  • BA/BSc degree required with a technical focus - e.g. Computer Science, Data Science, Math, engineering
  • Minimum TWO (2) years of experience in customer/ client facing analytics role
  • Strong technical skills with SQL, R/Python for data analysis and visualization tools such as Tableau, Qlik, PowerBI, Looker, etc.
  • Experience with deriving a narrative from data and communicating the results effectively
  • Familiarity working in a notebook based workflow a plus (Jupyter, Zeppelin, etc.)
  • Work experience in cross-functional teams a plus
  • Master's degree in Computer Science, Computer Engineering, Statistics, Data Science, or Informatics or equivalent working experience
  • Working experience in automotive industry, focusing on data collection or analysis
  • Working experience with large scale geo-location and time-series data sets
  • Notes:
  • Position is remote.

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