Junior Analytics Engineer (BI + Data Modelling) - Berlin - m/f/d

Ninox is Europe’s leading low‑code platforms, enabling thousands of companies to design powerful, flexible business applications without writing a line of code. From CRM to ERP to project management — teams use Ninox to run their core operational workflows. Data is at the center of how Ninox makes product decisions, prioritizes roadmap initiatives, evaluates business performance, and serves customers. As we scale, we are building a modern data foundation — and this is your opportunity to help shape it from the ground up. As a Junior Analytics Engineer, you bridge the gap between raw data and meaningful insights. The position is the glue between business operations and product development and supports everyone in the company to gain meaningful insights. You will support the development of our BI ecosystem, improve data models, build dashboards, and ensure that teams across Ninox have accurate, reliable, and actionable data at their fingertips. This role is ideal for junior candidates with strong analytical skills, solid SQL knowledge, and the ambition to grow into a full Analytics Engineer or BI Engineer role. Tasks What You Will Do 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 Your First 6–12 Months Learn our full data infrastructure and internal datasets Take ownership of key dashboards used by the product and leadership team Design your first data models to improve reporting efficiency Introduce automated checks that improve data quality Become the main contact person for ad-hoc data requests Contribute to building a modern BI stack and processes What Success Looks Like Stakeholders trust and actively use your dashboards Data models are well‑structured, documented, and reliable You spot and communicate insights that influence business or product decisions You consistently bring structure and clarity into messy datasets Our Tech Stack You don’t need to know everything — but you should be excited to learn. Databases & Data Modeling BigQuery, MongoDB, dbt Analytics & Visualization Power BI, Mixpanel Data Integration & Tracking GA4, Mixpanel, custom Python scripts 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 Why You’ll Love Working Here 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 Hiring Process 1. Apply via our online form 2. Intro call - get to know us and tell us about your goals 3. Take Home Challenge – We will have a case study and technical challenge we will ask you to complete 4. Skill & Technical interview - walk through your solution and meet your future teammates 5. Meet the COO / CEO / MD 6. Offer Find Jobs in Germany on Arbeitnow

Ninox is Europe’s leading low‑code platforms, enabling thousands of companies to design powerful, flexible business applications without writing a line of code. From CRM to ERP to project management — teams use Ninox to run their core operational workflows. Data is at the center of how Ninox makes product decisions, prioritizes roadmap initiatives, evaluates business performance, and serves customers. As we scale, we are building a modern data foundation — and this is your opportunity to help shape it from the ground up. As a Junior Analytics Engineer, you bridge the gap between raw data and meaningful insights. The position is the glue between business operations and product development and supports everyone in the company to gain meaningful insights. You will support the development of our BI ecosystem, improve data models, build dashboards, and ensure that teams across Ninox have accurate, reliable, and actionable data at their fingertips. This role is ideal for junior candidates with strong analytical skills, solid SQL knowledge, and the ambition to grow into a full Analytics Engineer or BI Engineer role. Tasks What You Will Do 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 Your First 6–12 Months Learn our full data infrastructure and internal datasets Take ownership of key dashboards used by the product and leadership team Design your first data models to improve reporting efficiency Introduce automated checks that improve data quality Become the main contact person for ad-hoc data requests Contribute to building a modern BI stack and processes What Success Looks Like Stakeholders trust and actively use your dashboards Data models are well‑structured, documented, and reliable You spot and communicate insights that influence business or product decisions You consistently bring structure and clarity into messy datasets Our Tech Stack You don’t need to know everything — but you should be excited to learn. Databases & Data Modeling BigQuery, MongoDB, dbt Analytics & Visualization Power BI, Mixpanel Data Integration & Tracking GA4, Mixpanel, custom Python scripts 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 Why You’ll Love Working Here 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 Hiring Process 1. Apply via our online form 2. Intro call - get to know us and tell us about your goals 3. Take Home Challenge – We will have a case study and technical challenge we will ask you to complete 4. Skill & Technical interview - walk through your solution and meet your future teammates 5. Meet the COO / CEO / MD 6. Offer Find Jobs in Germany on Arbeitnow