Data Analyst, Amplify

• Bachelor’s Degree in Computer Science, Data Science, Statistics, or related field
• 2+ years of experience in a data analyst or related role
• 2+ years of experience developing dbt data models (designing transformations, writing modular SQL, documenting lineage)
• 2+ years of experience using Python for data analysis (pandas, NumPy)
• 2+ years of experience using Git and GitHub for version control
• Hands -on experience with cloud-based analytics stacks (e.g., Snowflake, Fivetran)

Desirable

• As a Data Analyst at Amplify, you will join a talented team dedicated to uncovering insights that shape business strategy, product development, and customer experience
• Your work will help drive decisions that directly impact the lives of millions of students worldwide
• Amplify’s Data Analytics team builds reporting frameworks and narratives that guide strategic decisions across the organization
• You’ll collaborate with data scientists and engineers to deliver clean, reliable, and actionable metrics that support both our products and internal business partners
• Data Query & Modeling:
• Write advanced SQL queries (complex joins, subqueries, window functions) to extract and validate data
• Develop, maintain, and enhance data models (including dtb models) to support reporting and analytics needs
• Works with ELT/ELT pipelines and relational/dimensional data models to ensure data accuracy and consistency
• Partner with engineers and data scientists to ensure data integrity and alignment across systems
• Analysis & Visualization:
• Translate business problems into measurable outcomes by defining meaningful KPIs and metrics
• Build and maintain dashboards and BI reports (e.g., Tableau, Looker) that tell compelling stories with data
• Conduct data profiling and summarization in Python (pandas, NumPy) to uncover trends, anomalies, and distributions
• Apply data visualization best practices to make insights clear and actionable
• Collaboration & Communication:
• Communicate complex findings clearly to non-technical partners through writing, presentations, and conversations
• Participate in agile team rituals (Storytime, Story Splitting, Estimation, Retrospectives) to support iterative development
• Contribute to a data-driven culture by helping colleagues understand and leverage key performance metrics