Motivate International, parent company of NYC's Citi Bike, is the global bike share leader and a partner to governments and nonprofits in some of the largest cities in the world. We have unparalleled expertise in building and operating large, complex bike share systems. 

Led by a group of seasoned urban visionaries, creative leaders and technology innovators, our mission is to revolutionize the landscape of our cities. In an effort to completely transform the urban experience, Motivate is leading the way in making cities more accessible, healthier and sustainable. We create safe and dependable systems that help make cities great by connecting individuals to the people and places they love. 

At Motivate we bring this ethos to the workplace. We encourage and value diversity, creativity, open communication, and a shared sense of responsibility all while having fun.

Motivate LLC is looking for a detail-oriented and resourceful Data Analyst to join the Business Operations team. In this role, you will be managing data analytics functions for all aspects of our business to discover insights and develop data-driven resources to guide key decisions.

About Motivate

Motivate is a best-in-class service operation and logistics company, delivering bikeshare services to some of the largest urban environments in the U.S. We operate in 8 markets across the U.S. including New York, San Francisco, Chicago, and Washington D.C. and will serve over 1.5 million customers this year alone. Led by a group of urban visionaries and seasoned operations experts, our mission is to revolutionize the landscape of our cities. In an effort to completely transform the urban experience, Motivate is leading the way in making cities more accessible, healthier and sustainable. We operate and maintain safe and dependable systems that help make cities great by connecting individuals to the people and places they love. We’re offering an opportunity to work with the most passionate, creative and proven team in this emerging, dynamic industry that is transforming cities around the globe.


About the Role:

  • Working closely with the executive team, general managers, and Business Operations team members to develop a data-driven operational strategy

  • Providing tactical insights to Motivate general managers and empower them to optimize daily operations

  • Developing dashboards, reports, and data storage solutions to track KPIs across all Motivate markets  

  • Analyzing trends across all operational departments, including bicycle fleet operations, station technology, bicycle redistribution, and customer service  

  • Authoring business logic and effectively communicating analyses to technical and non-technical teams  

  • Reporting operations data to internal and external stakeholders on a recurring basis  

  • Developing scope for ongoing system and tool development including data structuring and processing

About You:

  • You are a team player, thrive in growth environments, and are excited to tackle the unique challenges facing growing transportation and logistics solutions  

  • You have an undergraduate or graduate background in an analytical field (mathematics, computer science, or similar)  

  • You have worked for 1+ years in a data-driven analytics role using SQL and Python

  • You have experience visualizing data in clear and effective ways using technical platforms to clearly communicate insights  

  • Ability to understand the business you are supporting to drive more actionable sights for field leaders  

  • You have a strong understanding of programming language basics  

  • You have excellent communication skills  

  • You are a proactive and collaborative problem solver  

  • You have experience developing dashboards in Tableau

Bonus points

  • Worked with GitHub to track and share code  

  • Experience working with a datawarehouse, such as Panoply  

  • Using AWS services, such as S3 and Lambda  

  • Experience with APIs

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Located in Industry City, Brooklyn; our office has varied lunch options and after work bars/activities. Also, train and bike stations close by!