Amplify is looking for a Data Analyst to uncover insights that shape business strategy, product development, and customer experience, driving decisions that impact millions of students worldwide. The Data Analytics team needs to build reporting frameworks and narratives to guide strategic decisions, and the analyst will collaborate to deliver clean, reliable, and actionable metrics.
Requirements
- 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).
- Experience working with large-scale datasets, statistical analysis, or A/B testing.
- Familiarity with additional data visualization tools or advanced BI practices.
Responsibilities
- 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.
- 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.
Other
- Bachelor’s Degree in Computer Science, Data Science, Statistics, or related field.
- 2+ years of experience in a data analyst or related role.
- 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.
