Description: Wallbox is a global company, dedicated to changing the way the world uses energy. We do this by creating smart charging systems that combine innovative technology with outstanding design and manage the communication between vehicle, grid, building, and charger. Founded in 2015, with headquarters in Barcelona and selling already in over 80+ countries, our mission is to facilitate the adoption of electric vehicles today to make more sustainable use of energy tomorrow. Our talent has no borders - we welcome over 900 Wallboxers from over 45 nationalities in Europe, Asia, and the Americas! We're now the first Spanish unicorn listed on the NYSE (WBX) and have been recently named amongst LinkedIn's top 3 Spanish startups. In day-to-day life, you will see our core values shining through our Wallboxers. The passion and dedication towards our mission will hit you the moment you walk through our doors - and there's no feeling like it. Our journey is not plain sailing - it requires proactive, flexible and top performing individuals who are committed to the world of sustainable mobility. But one thing is for sure - it's going to be a fun ride! The question is: are you ready to change the world with us?
You Will Be responsible for measuring and improving performance and usage of our charging systems and productsEngage with Product Managers to gain an understanding of the problems that need to be solved and gather requirements for analytical tasksModel and evaluate user and device behaviour in order to identify potential value of planned projectsDevelop and evaluate A/B test experiments or other analyses to measure and report the performance of released featuresEnable data driven product development through analysis of device, in-app, and external dataExtract, load and reconcile large data sets from multiple system platforms and sources.Utilize SQL or other advanced analytic tools to perform data extract and query functions.Build post-measure dashboards that will serve as a feature monitoring tool for diverse stakeholdersBe involved throughout the complete product lifecycle in order to guarantee a data-driven process Requirements:
Must have:
Degree in Mathematics, Statistics, Economics, Operations Research, Engineering or other fields with a strong mathematical-statistical background2+ years experience in working in a data driven analytics environment including an understanding of how to engage and influence decision makersExceptional analytical skills, lateral thinking and experience in solving highly challenging problemsBe fluent with one or more common data-related programming languages (Python or R)Very good knowledge of SQL and experience in working with large data setsFluent in business English Nice to have:
Experience in working with predictive modelsExperience in working with Data Visualisation tools (e.G.Tableau, Qlikview)Experience in working with Product Analytics tool (e.G. Mixpanel)Experience in Energy, Mobility or Automotive industry will be good to have Benefits:
Half-day Fridays!First class private health insurance after your first month at WallboxOnline group training sessions twice a week & other out of office activitiesUse one of our EVs for a weekend and/or a week (car sharing) and test our products in your home (beta testing) to become a valuable source of feedbackFree online language classes (Spanish & English) twice a weekFlexible compensation valid for restaurants & food delivery apps, transportation, childcare, and learning & development.Hundreds of discounts in different brands & services with our Wallbox Circle benefits platformCar discounts & special advantages if you choose an EV!Smartpoint for all your online orders & services at our officesFree coffee & soft drinks to fuel those tough Monday morningsVariety of breakfast and lunch dishes, everyday, at a discounted price at our canteenLearn and grow in a company of over 45 nationalities and counting!No suits! Unless it's Carnival or Halloween Please submit your CV in English
At Wallbox, we're committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We strive to be a more equal opportunity workplace.
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