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SalaryDescription
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.
