Kognity
Education • SaaS
Kognity is a digital education platform designed to empower educators and elevate student learning experiences. It offers a range of resources across various curricula, including IB DP, Cambridge IGCSE, and high school science. Kognity's platform provides teachers with curriculum-aligned content, integrated teacher resources, real-time analytics, and assessment support. It aims to save educators time on administration while promoting active and inclusive learning journeys. Additionally, Kognity is recognized for its ability to adapt to curriculum changes, enhancing student engagement and learning outcomes in over 1,500 schools across 130 countries.
Analytics Engineer
Job not on LinkedIn
November 19
Kognity
Education • SaaS
Kognity is a digital education platform designed to empower educators and elevate student learning experiences. It offers a range of resources across various curricula, including IB DP, Cambridge IGCSE, and high school science. Kognity's platform provides teachers with curriculum-aligned content, integrated teacher resources, real-time analytics, and assessment support. It aims to save educators time on administration while promoting active and inclusive learning journeys. Additionally, Kognity is recognized for its ability to adapt to curriculum changes, enhancing student engagement and learning outcomes in over 1,500 schools across 130 countries.
📋 Description
• Design, implement, and maintain scalable data models and transformations to deliver clean, reliable business-ready datasets. • Collaborate with data engineers to integrate new data sources, automate workflows, and ensure reliable, high-performing data pipelines. • Develop and maintain a semantic layer to standardize key metrics and definitions across the organization. • Implement data quality checks, testing frameworks, and governance practices to ensure accuracy and consistency. • Partner with stakeholders across teams to translate business needs into robust analytical and modeling solutions. • Continuously improve tools, processes, and architecture while staying up to date with modern analytics engineering best practices.
🎯 Requirements
• Experience in analytics or data engineering with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift). • Excellent communication skills with the ability to explain technical details to non-technical audiences. • Strong SQL and dbt experience, with proven skills in building and maintaining dimensional data models. • Experience with ELT/ETL workflows, version control (Git), and data governance. • Detail-oriented, self-driven, and collaborative, with a knack for spotting inefficiencies and improving processes. • A curiosity for AI and a drive to experiment with new tools to enhance creativity, decisions, and execution.
🏖️ Benefits
• Truly Hybrid — work from our Stockholm office when you like. • 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.
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