2024-02-29

Analytics Engineer

Arbetsplats - "Kognity AB"

Yrke - Databasutvecklare

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Om jobbet

🚀 Ignite the Future of Education as an Analytics Engineer at Kognity! 🚀 Are you passionate about revolutionizing education through data-driven insights? Do you have a talent for transforming data into actionable strategies that impact learning outcomes? Join us at Kognity and be a driving force behind the evolution of education as our next Analytics Engineer. Why Kognity is the place to be: ✨ Educational Innovation: Be a part of a trailblazing EdTech company committed to reshaping the future of learning. Your analytics expertise will directly contribute to creating impactful solutions that enhance the learning experience for teachers and students.

✨ Collaborative Culture: Work in a passionate team dedicated to leveraging technology to radically improve learning. Your insights will shape the way we approach analytics, driving positive change for both educators and students.

✨ Career Growth Opportunities: Seize the chance to grow professionally in a dynamic environment. We invest in our employees' development, providing resources and opportunities for continuous learning and advancement.

Responsibilities: 📊 Data Alchemy: Turn educational data into gold by designing and maintaining core data models to empower Kognity to be even more data-driven.

🌐 Tech Empowerment: Utilize your technical prowess with tools such as SQL, Python, dbt, BigQuery and Tableau.

🧑‍💻 Build a self-service data platform to enable stakeholders to access important data efficiently.

🧑‍🏫 Educator Empathy: Understand the unique challenges faced by educators and use analytics to provide them with actionable insights that enhance the teaching and learning experience.

🛠️ Continuous Improvement: Drive the development and enhancement of our analytics infrastructure, ensuring scalability, accuracy, and relevance to the evolving needs of education.

Requirements: 💻 Proven experience in building and maintaining data models.

🌐 Competent in writing data queries in SQL or Python.

🚀 A passion for Education: An enthusiasm for making a positive difference in the world of education through the power of data.

Interview process: 📞 Discovery Call with a Recruiter: A friendly chat with our Recruiter to explore if the role is your perfect match.

🤝 Hiring Manager Hangout: Connect with the team lead for a laid-back conversation. Uncover the nitty-gritty details of the role and let them get to know you. 💡 Case study collab: Join forces with one of our Data Engineers in a hands-on session. Together, you'll review a code sample, and build a data model.

🌟 Values Interview: Share your journey by engaging in a lively discussion about your experiences, aligning them with the heartbeat of our company values.

🚀 Leadership discussion: Elevate the excitement with a chat with a member of our leadership team. It's the ultimate chance to understand our vision

Our Values: 🚀 We maximise progress - We're not just dreamers; we're doers! We dive deep, reflect, and craft strategies that propel us toward our vision. If it means maximum progress, we make it happen, no holding back!

👊 We take ownership - We take initiative and solve problems we see.

🤝 We drive customer value - Success for our customers drives our progress. We create customer value in everything we do.

🗣️ We are transparent - No secrets, no mysteries. We're the open book of opinions and feedback. Radical transparency is our thing, and we're not shy about sharing information far and wide. Let the truth shine!

💙 We take care of ourselves and each other - We work hard and passionately. We also prioritise our well-being and that of our colleagues. We think long-term.

Benefits Flexible working; Work in a way that fits around your personal life.

Truly Hybrid — work from anywhere in Sweden or our Stockholm office.

Home office allowance of 5,000 SEK to create a comfortable remote work environment.

ITP Pension Plan with Nordnet

Yearly budget of 5,000 SEK to spend on health-related services.

30 days of paid vacation every year.

Full pay sick leave starting on day 1.

MacBook, iPhone as work equipment.

Stock option programme.