IT systems

Data Analyst e-commerce


Do you want to join a leading technology company in inspiring consumers through data & insight?

reMarkable is a Norwegian tech company on a mission to help people think better in a distracted world. We recently confirmed our status as Norway’s latest unicorn, with over 300 employees in Oslo and a million devices sold worldwide. In what feels like no time, we've gone from a small startup finding its way to being one of the fastest-growing companies in Europe.

Following the successful launch of reMarkable 2, which was named one of TIME's top 100 inventions of 2020, and our new subscription service, Connect, in 2021, we've set ourselves exciting growth and product development goals for 2022.

reMarkable is growing rapidly and so is our need for data and insight. For this reason we have just embarked on an existing journey to develop a world class data and insight capability. We are currently implementing a target state for Data & Insight that is heavily inspired by the Data Mesh paradigm of distributed data ownership, and are leveraging a modern tech stack based on a combination of GCP and open source tools (BigQuery, Terraform, dbt, etc.) to enable this. By joining reMarkable as a Data & Insight professional you will be given the opportunity to play a key part in establishing a leading Data & Insight community based on modern principals in one of Norway's most exciting companies.

About the role
As a growing global direct-to-consumer brand, reMarkable has a strategic need to better understand the end-to-end customer journey across paid advertising, e-commerce and subscription services. Therefore we are hiring an ambitious Data Analyst to work embedded in the e-commerce team to help us make better and more informed decisions at each step of the customer journey.

Data & Insights is a new initiative at reMarkable with critical importance, where you as an early joiner will have the opportunity to highly affect how we build a modern data stack and company wide data culture! As part of our fast growing guild of Data Analysts, Data Engineers and Data Scientists, who are embedded all across reMarkable, you will be a core component in leveraging a state of the art data stack to deliver high quality data driven products. As a member of the data guild you will be a part of building our inhouse powerhouse of skilled data people, ensuring we have a generous culture of learning through workshops, courses.

Main tasks and responsibilities-

  • Work with management in the e-commerce team to assess, prioritize, develop and act on insight to solve business problems within the following areas:

    • Increase conversion rate by improving customer journey

    • Improve the drivers of sales and gross profit

    • Recommend optimal pricing of reMarkable and accessories

  • Develop and design new data products in dbt

  • Responsible for developing explores and dashboards in Looker (BI tool) for extensive reporting and use

  • Identify when an use case requires advanced machine learning or statistics, and involve Data Scientists when needed

  • Interpret data and analyze results using statistical techniques to determine cause and effect

  • Identify, analyze, and interpret trends or patterns in complex data set

Employment type: Full-time

Location: Oslo


Who are you?

  • Higher education in relevant subjects (Mathematics, Economics, Computer Science, Information Management or Statistics)

  • 4+ years working experience in relevant areas or roles

  • Strong analytical skills

  • Solid understanding of Looker or similar BI tool (PowerBI, Tableau, Qlik), including experience with modeling and visualization of data

  • Strong understanding of SQL. Experience with Google Cloud Platform is a plus

  • Sharp business acumen and understanding

  • Understand web-traffic data and e-commerce business models (experience with tools like Amplitude, Mixpanel, Google analytics)

  • Enjoy the challenge of being a part of a rapidly growing tech scaleup

  • Fundamental understanding of statistics and regression models, including packages like Python, R, SPSS or SAS, is a benefit

What we offer

  • The opportunity to work as an embedded data analyst with highly skilled colleagues in the cross-functional e-commerce team

  • Improve your skills by joining a community of ambitious Data Analysts, Data Engineers and Data Scientists across reMarkable working on a modern cloud data platform with no legacy

  • Highly competitive salary and pension plan

  • A new Macbook/PC, reMarkable 2, choice of mobile phone, and home Wi-Fi allowance

  • Five weeks vacation + 5 reMarkable days to use as you wish

  • Premium health insurance (incl. physiotherapy and private medical consultations)

  • Access to our employee share incentive scheme

  • Flexible working hours

  • Rewarding and challenging tasks on a wide range of projects

  • Regular team events, parties, and off-site retreats

  • A shared Headspace account for your mental well-being

  • Career development opportunities as a leader or subject specialist

  • Centrally-located modern offices in Grünerløkka, Oslo

  • A unique opportunity to contribute to one of the fastest-growing tech scaleups in Norway

At reMarkable, we offer the opportunity to contribute towards building a global tech company. You'll join a fast-paced, dynamic work environment and be involved in every step of creating a product that's used and valued by hundreds of thousands of customers around the globe.

Besides robust career development and growth opportunities, we offer a workplace where everyone can influence the company's direction, story, and success. We're a committed and highly motivated team with a lot of love for what we do and the people that we work with.

Through collaboration, we create a generous, respectful, and supportive environment where people take the extra steps needed to help each other succeed as well as exceed expectations.

Other Information

  • You should have a valid work permit from the EU/EEA. (Relocation assistance is provided)

  • Interviews will be conducted in August

  • For any questions contact Sumana Biswas (Senior Recruitment Advisor ) at

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