Data Analyst

About May Mobility

May Mobility is a self-driving technology company working to transform today's mobility landscape, by starting with a niche market–low-speed shuttles for public roadways. Our vehicles are on the streets of  Grand Rapids, Michigan and Arlington, Texas, navigating complex downtown scenarios and transporting thousands of people on their daily commute every week. We are establishing a ground game that will propel us into even larger markets in the future.

Based in Ann Arbor, Michigan, our team develops driverless technology to give people more time to laugh with friends, to solve an interesting problem, or to enjoy the world around them. We’re hiring people who share our passion for building the future, today.

Software and Data Infrastructure Team

The SDI Team is a key enabler of the May Mobility mission, operationalizing the experience of using autonomous technology for real people on real routes. We leverage automation and DevOps culture to build cloud infrastructure and developer productivity tools at scale. We provide the data backbone of the company, from raw log data on vehicles to consumers with varying needs. We build experiences for internal teams managing the fleet, external customers and passengers. Members of this tight-knit group act as a force multiplier for the company.

Your Opportunity to Drive Success

• Build data visualization, dashboards, and reports for internal and external customers
• Consult and collaborate with stakeholders to identify data needs and develop actionable insights 
• Respond to stakeholder’s requests for their data needs
• Collaborate with data engineers on our real-time and historical data pipelines to enable our fleet to operate and facilitate continuous development of our system
• Define, build, and expand analytic tools for managing, searching, and analyzing vehicle datasets with internal and external partners
• Identify programmatic or data issues and build solutions
• Participate in new technology introduction initiatives for modern data tools and industry best practices

Required Qualifications:

• B.S. Degree in Engineering, Data Science, Math, Statistics, or an equivalent degree and 2+ years of industry experience
• Experience with a programming language, such as Python, R, SQL
• Experience working with databases, such as Postgres, MySQL, SQL Server
• Experience analyzing, evaluating and transforming data from multiple sources
• Attention to detail
• Written and verbal communication skills
• Experience with robotics, automotive engineering, or start-ups is not required
• Ability to undergo a driving record check

Desirable Qualifications:

• M.S. Degree in Engineering, Data Science, Math, Statistics, or an equivalent degree and 2+ years of industry experience
• Expertise in Python, R, SQL
• Experience with Hadoop, Hive, Presto, Spark
• Familiarity with data visualization principles
• Experience with GIS
• BI Tool experience (e.g. AWS Quicksight, Tableau)
• Working knowledge of data structures and algorithms
• Working knowledge of telemetry systems and real-time data processing

Benefits and Perks

• Paid health benefits including vision and dental
• Unlimited paid vacation policy and generous holidays
• Significant stock options
• Daily catered lunches and snacks