Product Analyst

at  EasyPark Group

113 56 Stockholm, Stockholms län, Sweden -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate21 Nov, 2024Not Specified23 Aug, 20243 year(s) or aboveTeamsNoNo
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Description:

At EasyPark, we love cities. We love them for work, for play and everything in between. That’s why our mission is to make life in cities that much easier – by taking care of the parking. With the use of technology, we break barriers, helping improve the urban experience. Our aim is to create a scenario where parking supply and driver demand are balanced not due to additional parking spots and fewer cars, but thanks to predictive technology that connects our users to available spots.

Responsibilities:

Are you prepared to lead the charge in transforming cities and empowering private parking operators within an entrepreneurial and international environment? Do you want to be a critical part of transforming EasyPark from being data informed to being truly data driven? At EasyPark, we’re on a mission to make cities more liveable and we want you to be a key player in this journey.
Within the Analytics function we combine consumer behaviour data and parking domain data to continually enhance our decision-making processes, all while providing an outstanding customer experience. Our core values - being curious, playing together and progressing inch by inch - drive us to listen to understand, challenge assumptions and focus on making a meaningful impact.
The Product Analyst role is a technical position reporting to the Product Analytics Lead within the Analytics function. Your mission will be to empower product teams with data-driven insights, helping them make informed decisions. You’ll work closely with these teams to uncover key insights about user behaviour, user journeys, churn and product usage. Alongside other teams in the Analytics function, you’ll also advocate for data quality, data literacy and a strong data culture at EasyPark.


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

BSc

Engineering, Mathematics, Statistics

Proficient

1

113 56 Stockholm, Sweden