Senior Business Data Analyst

Ness Ziona, Israel
Product
Full-time Senior
About The Position

Who Are We?

Moovit (www.moovit.com), part of Mobileye (Nasdaq: MBLY), is the creator behind the #1 urban mobility app and is a leading Mobility as a Service (MaaS) solutions provider. Together, Moovit and Mobileye are accelerating the global adoption of autonomous transportation.

Moovit’s iOS, Android, and Web apps guide people in getting around town effectively and conveniently, using any mode of transport. Introduced in 2012, it now serves over 1.5 Billion users in more than 3,500 cities across 112 countries.

Moovit amasses up to six billion anonymous data points a day to add to the world’s largest repository of transit and urban mobility data. For governments, cities, transit agencies, and private companies, Moovit offers AI-powered MaaS solutions covering planning, operations, and optimization with proven value in reducing congestion, growing ridership, and increasing efficiency and asset utilization.

Moovit is looking for a talented and experienced Senior Business Data Analyst to join our Data Analytics team. This team provides crucial cross-functional support and data-driven guidance on various aspects of the business, including product quality, stability, growth, marketing, monetization, and operations.

The ideal candidate has a strong background in a quantitative or technical field, proven experience in querying and working with large datasets, and a track record of driving data-informed decisions. You are results-oriented, a self-starter, and have demonstrated success in using analytics to understand, grow, and improve a product. You are not just reactive; you proactively identify opportunities and drive initiatives from conception to completion.

Responsibilities

Apply your expertise in SQL, Python, and quantitative analysis to go beyond the numbers and deeply understand how our users interact with our business and core products.
Initiate and conduct in-depth research to uncover new business and product opportunities, trends, and actionable insights.
Leverage AI tools and methodologies to enhance analytical processes and discover novel insights that drive business success.
Build, maintain, and communicate detailed reporting models and dashboards to assist various stakeholders in making informed decisions.
Partner with Product, Marketing, and Engineering teams to solve complex problems and identify trends through collaborative research.
Requirements
B.Sc. in a quantitative discipline such as Statistics, Applied Mathematics, Operations Research, Computer Science, or Engineering.
5+ years of analytical experience, preferably within the online or apps industry.
Excellent fluency in SQL, with a strong interest and comfort in working with large, complex databases.
Proven experience with Python for data analysis and manipulation (e.g., pandas, numpy).
Strong knowledge of statistical data analysis, including A/B testing and hypothesis testing.
Demonstrated record of taking initiative, showing innovation, and driving projects forward independently.
Ability to process and analyze complex datasets and interpret them to make sound business decisions.
Experience building dashboards using a BI tool (Tableau, SiSense, QlikView, etc.).
Excellent problem-solving and analytical skills with impeccable business judgment.
Ability to communicate findings clearly to both technical and non-technical audiences.