Analytics Engineer
1 week ago
Born autonomous. Born electric.
Since 2016, our technology has connected global communities with the things they need – and all without the emissions. We're made up of experts in multiple fields and that's how we've developed a new way to move goods. This is technology purpose-built for the industry. This is safer, cleaner, and more reliable movement.
We are Einride and this is how we build a better future.
Want to be part of transforming road freight – for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.
Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world's biggest shippers, including Fortune 500 companies. We are also operating Sweden's largest truck dedicated public charging network and counting.
In this role, you will be joining the analytics platform team working closely with both engineers building our freight management platform for electric transport and business analysts creating analyses, reports and dashboards. We are looking for an enthusiastic, humble and creative Analytics Engineer who is passionate about creating simple, beautiful and helpful solutions to empower the transport industry to go electric.
Being tech savvy is only a part of the job description, as one of our first Analytics Engineers we also expect you to elevate our Analytics Engineering practice to the next level and educate business stakeholders in data modeling and tooling that will empower them to do their jobs more efficiently. Together with business analysts, data scientists and data engineers across the organization, you will design and implement metrics and features to enable internal reporting and analysis, as well as development of our analytics-driven products. You will be the go-to person for questions regarding dashboard design and data visualization.
You Will
- Work with business stakeholders to understand and predict their needs in terms of datasets and dashboards
- Design and implement metrics to enable analysis, assess business performance, and improve our analytics-driven products
- Design data models and build reliable pipelines together with our Data Engineers
- Support business analysts in design and development of dashboards
- Continuously evaluate analytics frameworks and business intelligence tools
We Expect You To Have
- Passion for high data quality and scaling analytics work
- Strong skills in SQL and cloud data warehousing
- Solid experience in end-to-end development with business intelligence tools (e.g., Looker, Tableau, Qlik Sense)
- Experience in schema design and dimensional data modeling
Ideally You Also Bring
- Experience with an ETL framework like dbt
- Experience in a programming language for data analysis (e.g., Python, R)
- An eye for design when it comes to dashboards and visualization tools
- Good understanding of predictive modeling
This position is full-time and based in Stockholm or Gothenburg. We recommend you submit your application as soon as possible as selection and interviews are held continually.
At Einride, we are innovators, building solutions the world has never seen before – but urgently needs. That's why we take action, and it's why we are always eager to be challenged. We know that our best innovations come from having a diverse mix of people, including those of different experiences, career paths, and walks of life. By coming together and sharing our perspectives openly – by disagreeing, discussing, and committing – we deliver greater impact.
Please note that as part of our standard recruitment process, we conduct a background control on the final candidate for this role. This may include verification of education, employment history, any relevant professional certifications or other information that may be of our interest.
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