Startup Careers

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Data Analyst at Moovit
Ness Ziona, IL

Moovit is the world's largest urban mobility data and analytics company and the #1 transit app with over 300 million users. Having built the world’s leading consumer business in urban mobility growing at over 1 million users per day, Moovit launched its suite of Mobility as a Service (MaaS) products earlier this year to license to governments, municipalities and transit authorities to help them improve urban mobility and increase riders’ satisfaction around the world.

Moovit is seeking an experienced Data Analyst for the Data Analysis team. The team provides cross-functional support and data-driven guidance around product quality and stability as well as marketing, monetization and operations.

The perfect candidate will have a background in a quantitative or technical field, will have experience in querying and working with large data sets, as well as data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

 

Responsibilities:

  • Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our core/business products
  • Build, maintain, and communicate detailed reporting models & dashboards to assist different stakeholders.
  • Partner with Product, Marketing and Engineering teams to solve problems and identify trends and opportunities

Requirements

  • 2+ years of cross functional analytical experience
  • Strong interest and comfort in working with data and databases, excellent fluency in SQL
  • Strong Excel skills & Statistical data analysis skills
  • BSc. in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering
  • Experience building dashboards using a BI tool (Tableau, SiSense, QlikView, etc.)
  • Excellent problem-solving and analytical skills and impeccable business judgment
  • Ability to process and analyze complex data sets, and interpret them to make business decisions
  • Able to communicate findings clearly to both technical and non-technical audiences
  • Good communication skills, attention to detail, and ability to work independently