Finance Analytics & BI Lead at ARRIVE
113 56 Stockholm, , Sweden -
Full Time


Start Date

Immediate

Expiry Date

27 Sep, 25

Salary

0.0

Posted On

28 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Financial Services

Description

WE’VE SIGNED UP TO AN AMBITIOUS JOURNEY. JOIN US!

As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn’t a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let’s grow better, together.

ABOUT US

Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space. It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it’s how you Arrive

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Responsibilities

We process millions of parking transactions every month—and this number is only growing. Ensuring our financial data flows seamlessly and accurately across systems (from our parking platform to our ERP and BI tools) is essential. That’s where you come in.
You’ll work at the intersection of Finance and Technology—partnering closely with stakeholders, developing scalable ETL pipelines, and delivering trustworthy financial data models and reports.

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