Analytics Engineer creating data products that meet various business needs for the fintech company Stone. Responsible for data pipelines, monitoring, and ensuring data quality.
About the role
- Junior Analytics Engineer at Ninox developing dashboards and improving data models. Collaborate across teams to support data-driven business decisions.
Responsibilities
- Develop dashboards for key teams (Product, Marketing, Finance, Operations, Management) using your SQL expertise
- Perform deep‑dive analyses to uncover user behaviour patterns and performance drivers
- Convert analytical findings into clear, actionable recommendations
- Support user behaviour tracking for product and marketing initiatives
- Partner with stakeholders from product development and business operations to understand data needs
- Educate teams on how to use dashboards, reports, and data sources you created
- Be a go‑to data partner for ad‑hoc questions and strategic analysis
- Improve data quality, consistency, and structure across datasets
- Integrate new data sources via APIs and ETL/ELT tools
- Contribute to documentation and data governance practices
- Participate in designing scalable pipelines and monitoring data reliability
Requirements
- Degree in Computer Science, Mathematics, Business/ Data Analytics, or a related field
- 1 to 2 years professional experience
- Strong SQL knowledge and confidence working with databases
- Data Warehouse Fundamentals
- Good understanding of statistics and analytical thinking
- First experience with BI tools (Power BI, Looker, Data Studio, Tableau, etc.)
- Familiarity with digital analytics (GA4, GTM, Mixpanel, Amplitude)
- Experience with dbt, or data pipelines
- Expertise in programming languages: Python and JavaScript
- Curiosity, ownership mindset, and eagerness to learn new tools & methods
- Strong communication skills and ability to explain complex topics clearly
- Fluent written and spoken English
- Experience in SaaS or user‑behavior analytics preferred
Benefits
- Large impact: Your work directly influences product roadmap and business strategy and you will work directly with company leadership
- Strong mentorship: You will learn from experienced senior engineers and analysts
- Modern tech environment: Help shape a scalable, high‑quality analytics stack
- Freedom & responsibility: Lots of ownership from day one
- Flexible working conditions
- 30 vacation days
- 30 days of mobile work – you can work from any country in the world.
- Health and Fitness Club Membership through Wellhub
- Subsidized Company Deutschlandticket
- Dog‑friendly Berlin‑Mitte office
- Multicultural, ambitious, and supportive team
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Design and optimize scalable data pipelines and models for terabyte - scale datasets. Collaborate with stakeholders to ensure data quality, governance, and actionable analytics.
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