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Data Analyst (Maternity Cover)
Blinkist
- Location
- Germany
- Posted
Data Analyst (Analytics Engineering Focus) at Blinkist, leveraging dbt for data-driven decision-making and driving business outcomes.
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Blinkist
Blinkist is seeking a Data Analyst (Analytics Engineering Focus) to design, develop, and optimize data transformation pipelines using dbt. The ideal candidate has strong SQL skills, hands-on experience with dbt, and a passion for clean, well-structured data. They will collaborate with cross-functional teams to align data solutions with strategic goals and deliver actionable insights that drive business impact. This is a one-year, full-time maternity cover position in Berlin or remote in Germany.
Blinkist connects people with powerful ideas from leading authors and experts to broaden perspectives, gain knowledge, and spark understanding in all areas of their life, both personal and professional.
Used by over 28 million people worldwide, Blinkist distills the key ideas from the most relevant, impactful books and podcasts. These can be read or listened to in 15-minute summaries, that we call Blinks.
Together with Go1, our parent brand, who gives organizations and their employees access to the largest curated e-learning library on the planet, we’re on a mission to reach one billion learners as we unlock positive potential through a love of learning. ✨
At Blinkist, we’ve built a platform that transforms the key insights from the world’s best nonfiction books into powerful knowledge, accessible in just minutes. With millions of users worldwide, we rely on data to fuel our growth, drive innovation, and deliver value to our customers.
Join our team as a Data Analyst (Analytics Engineering Focus) with a passion for leveraging dbt to power data-driven decision-making. In this role, you’ll design, develop, and optimize data transformation pipelines to deliver reliable, high-quality data that drives business impact. Collaborate with cross-functional teams to align data solutions with strategic goals and turn complex datasets into actionable insights that make a difference.
A few notes about the position:
Build and Optimize DBT Models:
Design, develop, and maintain dbt models to transform raw data into clean, structured, and actionable datasets. Ensure models are performant, scalable, and aligned with business goals.
Integrate Data Pipelines:
Work with data engineers to embed dbt workflows into reliable, end-to-end pipelines. Automate and streamline data delivery for analytics and reporting needs.
Align Data with Business Goals:
Collaborate with stakeholders to understand their objectives and create data solutions that drive measurable business outcomes. Deliver insights that solve actual business problems. Keep stakeholders informed and educated about how your work can help them grow the business.
Ensure Data Quality:
Implement robust testing frameworks, including unit tests and data quality checks, to maintain accuracy and consistency. Proactively identify and resolve data discrepancies.
Enable Analytics:
Support analysts and business teams by providing actionable, easy-to-understand data insights. Translate technical concepts into clear, business-friendly recommendations.
Our unique culture of empowerment, mutual respect, and transparency has always been our defining characteristic. We support each other and carve out opportunities for every individual to develop and grow. We strongly believe that diversity powers innovation, thus we celebrate and support our differences, providing equal opportunities for employment and career growth. We embrace a flexible, remote-friendly way of working that supports different needs and lifestyles.
These are some of our most valued benefits:
If you choose to join our team in Berlin, you'll have access to our modern office space in Neukölln and enjoy healthy plant-based meals prepared fresh every day by our very own chef. 🥑
If we’ve captured your interest and you want to take part in changing the world through the power of ideas – apply now and tell us what got you excited about this opportunity.
We look forward to hearing from you! ☀️
🔎 Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalised folks tend to only apply when they check every box. If you think you have what it takes, even if you don't meet every single point on the job description, please still get in touch. We’d love to have a chat and see if you could be a great fit.
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