KeyMe is reinventing the $12 billion locksmith services industry with advanced robotics and AI, building the world’s most trusted brand in “access solutions”. Our network of self-service kiosks are located in thousands of retail locations across the country (IKEA, Bed Bath & Beyond, Albertsons, Kroger, RiteAid, Menards, etc.) supporting duplication of brass keys as well as sophisticated electronic keys such as RFID and vehicle transponder keys. Our kiosks are complemented by KeyMe locksmiths who provide unrivaled service quality for emergency lockouts and other skilled access and home services.
KeyMe is growing rapidly and has raised over $100M from top-tier investors like BlackRock, Comcast Ventures, and Battery Ventures.
About the Role:
The Engineering Analyst will analyze large volumes of data generated from thousands of robotic kiosks and millions of customer interactions. You will join our Engineering team and work directly with our CTO and senior engineers to conduct a variety of exploratory analysis. You will work with our engineers to identify patterns, validate hypotheses, and build reports to share any insights. You will additionally identify data we should we tracking and become an integral part of the team working on our most challenging machine learning projects.
What You’ll Be Doing:
Conducting exploratory analysis to understand patterns on our kiosks
Using data to answer complex questions from our technology leadership
Work closely with our Machine Intelligence engineering team to devise improvements to our R&D process
Present analytical findings to our CTO and engineering team
Build new and refine existing ETL flows
Develop and deploy Tableau reports to share findings and insights
How We Know You Can Do It:
Experience with analytics and business intelligence reporting
3-4 years of SQL experience
1-2 years experience withTableau or similar visualization platform
Experience with R and/or Python (preferred)
Experience hypothesis testing and statistical analysis
Able to work independently and efficiently in order to meet organization goals
Extreme attention to detail
Must be able to multi-task and thrive in a fast paced environment
Proven ability to work effectively within a cross-departmental team