Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.Owns the end-to-end data analytics lifecycle, from defining measurement frameworks and surfacing insights to supporting product and model decisions. The role works closely with engineering, product, and ML teams, builds and maintains data pipelines and dashboards, and helps shape the analytical foundation of the AI software development project. Requires 3+ years of data analytics experience, with a track record of influencing product outcomes in a fast-moving technical environment.
Mission:Turn raw product, behavioural, and model data into clear, trustworthy insight that helps the team make better decisions, faster.
Education:- Bachelor’s degree or higher in Statistics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience.
- Define measurement frameworks and metrics with product and engineering teams.
- Build and maintain data pipelines, dashboards, and reports.
- Analyse product, behavioural, and model data to surface actionable insights.
- Support experiment design and A/B test analysis.
- Ensure data quality and consistency across sources.
- 3+ years’ experience in data analytics or a similar quantitative role.
- Strong SQL and proficiency in Python or R for analysis.
- Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar).
- Solid grasp of statistics and experiment design.
- Clear communication of findings to technical and non-technical audiences.
- Experience with cloud data warehouses (BigQuery, Snowflake, Redshift).
- Familiarity with ML workflows and model evaluation metrics.
- Familiarity with GitLab for versioning analysis code and pipelines.
- Exposure to EdTech or AI products.
- 💻 Choice of work equipment (e.g., laptop, monitor, etc.)
- 🇬🇧 English classes (iTalki – $130 monthly)
- ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET)
- 👶 Newborn bonus (€500 per child)
- 🧠 Patent remuneration
- 🌴 Paid leave
- 🧑💻 Remote work in locations without our offices
- Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Skills Required
- Bachelor's degree in Statistics, Computer Science, Engineering, Economics, or related quantitative field, or equivalent practical experience.
- 3+ years' experience in data analytics or a similar quantitative role.
- Strong SQL skills.
- Proficiency in Python or R for analysis.
- Experience building dashboards (Tableau, Power BI, Looker, or similar).
- Experience building and maintaining data pipelines and reports.
- Solid grasp of statistics and experiment design, including A/B test analysis.
- Ability to ensure data quality and consistency across sources.
- Clear communication of findings to technical and non-technical audiences.
- Experience with cloud data warehouses (BigQuery, Snowflake, Redshift).
- Familiarity with ML workflows and model evaluation metrics.
- Familiarity with GitLab for versioning analysis code and pipelines.
- Exposure to EdTech or AI products.
What We Do
Constructor group is a global institution dedicated to creating knowledge through science, education, and technology. Our integrated, self-sustainable ecosystem focuses on the five fundamental technology needs expected to contribute to solving the current challenges of the world: general intelligence, quantum technology, intelligent materials, hybrid reality, and life engineering.Our knowledge ecosystem combines extensive education offers covering the entire learning lifecycle from K-12 to post-graduate programs and courses for executives, highly efficient research capacities, and commercial operations for our technology breakthroughs.The Constructor ecosystem comprises Constructor University, a non-profit, research-oriented private university located in Bremen, Germany, and an institute in Schaffhausen.Several ventures market our technology innovations: Alemira and Learning focus on advanced solutions in Educational Technology, executive education, and consulting services. Rolos delivers a platform boosting research productivity and develops MI for robotics and driverless mobility. Capital and Start Garden further strengthen our ecosystem by offering funding and start-up incubation capacities.
