Business Intelligence Analyst 1

Partner with Learning Science and Instructional Design to conceptually map how learning model standards-difficulty curves, skill levels, instructional flow-translate into learner outcomes. Create metrics for learning quality, persistence, and proficiency-moving beyond clicks and usage to identify the metrics that are true predictors of completion and satisfaction. Develop and maintain dashboards that visualize learner progress, satisfaction, and experience quality, creating a single source of truth for program health. Partner with Product Managers and Learning Scientists to design and analyze experiments (A/B, multivariate, feature pilots) that measure the impact of new formats, UX improvements, or product features. Collaborate with Learning Science to link quantitative data with qualitative insights, grounding product design in evidence. Communicate insights clearly and visually-craft data stories and presentations that turn analysis into actionable narratives influencing decisions and roadmap priorities. Continuously improve analytics systems-automate processes, refine models, and ensure accuracy and accessibility across teams. Integrate AI as an internal enabler wherever it makes sense. Drive a culture of user-centric, evidence-based decision-making so every product choice is grounded in data and aligned to learner needs. Think creatively about how we can leverage data analytics solutions to solve business problems in ways we might not have considered. 3-6 years of experience in product or business analytics, ideally within a B2C, SaaS, or education context. Advanced SQL skills and fluency in Python or R for data analysis, modeling, and visualization, and comfortable with integrating AI into methods to support data-driven recommendations & drawing insights. Strong analytical toolkit-comfortable with A/B testing, funnel analysis, time series, and behavioral modeling. Proven ability to translate data into actionable product insights. Experience building dashboards in Tableau, Looker, or a similar visualization tool. Strong communication skills-able to synthesize complex findings into clear, actionable recommendations. Collaborative and proactive; comfortable working with Product, Engineering, and Learning teams. User-centric mindset-curious about how design and data together shape learner outcomes. Experience analyzing engagement or learning data within an edtech, learning, or content platform. Familiarity with UX research methods or human-centered design. Knowledge of statistical experimentation, hypothesis testing, and causal inference. Comfort with working in agile product environments. Passion for learning analytics, learning science, or experience optimization. To view full details and how to apply, please login or create a Job Seeker account