What You’ll Do

• Own cross-functional analytics initiatives by translating product and growth objectives into end-to-end analytical workflows, including exploratory analysis, experiment design, modeling, and interpretation
• Design, execute, and evaluate experiments (A/B tests) to assess feature performance, marketing impact, and user behavior
• Build predictive and forecasting models that support product planning, business strategy, and decision-making
• Identify leading indicators and define metrics that enable teams to track progress and outcomes
• Build and deliver dashboards, reports, and data products that provide visibility into product and user behavior
• Communicate insights clearly and persuasively to executive and functional stakeholders using both data and storytelling
• Partner with data engineering to improve data pipelines, reliability, and access at scale
• Use AI tools (e.g., ChatGPT, Claude, Cursor, Windsurf) to accelerate analysis, coding, and insight generation
• Contribute to a culture of learning, experimentation, documentation, and continuous improvement within the data organization
• Mentor and support junior Data Scientists through feedback, guidance, and shared best practices

What You’ll Need to Know/Have

• 3–6+ years of experience in data science, analytics, or a related quantitative role
• Strong proficiency in SQL and experience using Python or R for analysis and modeling
• Deep knowledge of: experimentation and A/B testing, statistical methods and causal inference, core machine learning techniques (e.g., regression, classification, clustering, time series)
• Proven experience owning analyses or models used to inform real business or product decisions
• Experience working with large, messy datasets in production environments
• Strong familiarity with BI and data visualization tools (e.g., Tableau, Looker, Power BI)
• Demonstrated ability to distill complex analyses into clear, actionable insights
• Comfort navigating ambiguity and prioritizing work in a fast-paced, evolving environment
• Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders
• Experience leveraging AI tools (e.g., ChatGPT, Claude, Cursor, Windsurf) to accelerate analysis, coding, insight generation, and improve overall productivity of analytical workflows
It Would Be a Bonus If You Had
• Experience in EdTech or working with education-related products
• Familiarity with cloud-based data platforms (e.g., Snowflake, Redshift, BigQuery)
• Background in behavioral analytics, churn prediction, or customer lifecycle modeling
• Prior experience mentoring or guiding junior analysts or data scientists

Growth & Impact - In this role, you’ll be expected to

• Independently own and drive high-impact analytical work
• Influence product and business decisions through trusted insights
• Help shape experimentation and measurement strategy across teams
• Act as a thought partner to cross-functional stakeholders
• Grow into broader technical or leadership responsibilities over time

Why Join Us

• Join us and help shape the future of education through intelligent insights and meaningful impact
• At Instructure, we’re on a mission to help educators and students learn together - anytime, anywhere, and however works best. You’ll join our advanced development team, a research-driven group tackling education’s biggest challenges with cutting-edge technology. Our projects have included making sense of unstructured feedback, applying large language models to save teachers’ time and improve student experiences, classifying partner networks for smarter recommendations, and detecting fraud to protect resources for real learners.
• We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you’ll have the chance to build the next generation of LMS features that make a real impact on students and teachers—and to do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on All the Awesomeness at Instructure

• We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
• Competitive compensation and participation in Instructure’s equity program
• Flexible schedules and a remote-friendly culture, with hybrid or onsite work based on business needs
• Annual “Dim the Lights” company-wide shutdown from December 26 to December 31
• Comprehensive wellness programs and mental health support
• Annual learning and development stipends to support your growth
• We provide the technology and tools you need to do your best work—typically a Mac, with PC options available in some locations
• A culture rooted in inclusivity, support, and meaningful connection

1500000 - 2200000 HUF a month