Analytics Engineer - Product Analytics
Role details
Job location
Tech stack
Job description
- Design, develop, and maintain data models (e.g., in dbt) that align with the overall data architecture and business requirements.
- Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis.
- Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed.
- Incorporate data quality checks and cleansing routines to ensure datasets are reliable and accurate.
- Work closely with data analysts and other analytics engineers to ensure consistency and accuracy in metrics and definitions across the team.
- Contribute to team processes by occasionally leading portions of meetings or sharing improvements to analytics workflows.
Requirements
Do you have experience in Tableau?, Do you have a Master's degree?, * Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Mathematics, Physics).
- At least 3 years of experience in a similar data analytics engineering or BI development role.
- Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts.
- Hands-on experience with business intelligence platforms (e.g., building dashboards in Looker, Tableau, or similar).
- Basic programming skills in Python or a similar language for data processing and automation.
- Proven ability to handle multiple data projects, troubleshoot data issues, and meet deadlines.
- Good communication skills, with the ability to collaborate with technical and non-technical team members.
Benefits & conditions
Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.
Some things you'll enjoy
- Stock grant opportunities dependent on your role, employment status and location
- Additional perks and benefits based on your employment status and country
- The flexibility of remote work, including optional WeWork access
About the company
Helping people overcome communication barriers is the heart of what we do. Founded in Germany in 2017 by a team of engineers and researchers, DeepL has developed the world’s most accurate AI translation technology—enabling real-time, human-sounding translation.
Accessible via a web translator, browser extensions, desktop and mobile apps, and an API, DeepL supports a best-in-class translation experience in 34 languages and counting. Our 550-person team operates across four European hubs in Germany, the Netherlands, the UK, and Poland.