Business Intillegence Analyst

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
  Preferred Qualifications:• 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