Senior Analytics Engineer
Stockholm, Sweden
Storytel
Im Bett lesen - unterwegs hören. Entdecke über 600.000 Bücher und lache, spule zurück oder gewinne eine neue Perspektive.Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others.
As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place.
Ready for your next chapter? We're looking to hire a Senior Analytics Engineer to join the team in Stockholm.
About the Team
We're proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis.
Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale.
About the Role
As a Senior Analytics Engineer, you'll architect and lead the development of data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives.
Examples of responsibilities:
Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company.
Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics.
Strategically plan and deliver meaningful projects to increase data literacy at Storytel.
Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability.
Collaborate with data practitioners to understand their needs and requirements, breaking down complicated technical concepts to fit the audience.
Drive adoption of technical best practices across the data team, mentoring others and bringing in industry innovations that improve how we work.
About You
To be our next colleague, we believe that you have:
5+ years of experience in working with data (BI/Analytics/Data Engineering) specializing within Analytics Engineering.
Deep expertise in SQL and data modeling and extensive experience with modern data stack technologies (e.g., dbt™, Looker, BigQuery, or equivalent tools).
The ability to consistently deliver performant, accurate, and scalable solutions.
Experience with creating and maintaining semantic layers.
Experience mentoring junior engineers and driving team-wide technical improvements.
Proven ability to lead complex data projects, solve problems independently, and proactively improve products.
Excellent communication skills with the ability to explain complex technical concepts to various audiences.
The ability to thrive in a feedback culture and constantly strive to improve your own skills and knowledge.
Bonus if you have:
Experience working with Python.
Experience in data governance and access management.
Experience with different data modeling schemas.
Experience working with international teams and global data operations.
Join a world of stories
At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us.
Does this sound like your next story? If you feel like Storytel is a place where you could thrive, please submit your application in English and we'll contact you as soon as possible. Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Data governance DataOps Data pipelines dbt Engineering GCP Google Cloud Looker Pipelines Python SQL Streaming
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