Data Analyst

Job Description

A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math.

All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. For more information, visit amplify. com.

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. Essential Responsibilities: 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. Required Qualifications: 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.

EWJD3