A pioneer in K–12 education, Amplify partners with educators to make learning rigorous and riveting for every student.

Senior Data Analyst

Data AnalystData AnalystFull TimeRemoteTeam 1,001-5,000Since 2000H1B SponsorCompany Site LinkedIn

Location

United States

Posted

130 days ago

Salary

$105K - $129K / year

Bachelor Degree5 yrs expEnglishCloudETLPythonSQL

Job Description

• Join a talented team who seeks empirical answers to crucial questions about Amplify’s customers, operations, finances and products. • Use data to inform business strategy and product development. • Build reporting frameworks and narratives that drive strategic decisions across every department at Amplify. • Work with data scientists and engineers to provide clean, accurate, reliable metrics and reports for our products and internal business partners. • Analyze cross-selling patterns to formulate new strategies. • Measure digital engagement across STEM curricula to optimize content delivery and student interaction. • Drive student learning outcomes by analyzing assessment events data to identify performance patterns. • Provide the Amplify executive team with insights into key metrics like Annual Recurring Revenue and Effective Price. • Support customer success managers with usage and progress reporting.

Job Requirements

Bachelor’s Degree in Computer Science, Data Science, Statistics, or related field.
5+ years of experience in a data analyst or related role.
Expertise in advanced Structured Query Language (SQL), including complex joins, subqueries, and window functions.
5+ years of experience in the development and enhancement of dbt data models, including designing, building, and maintaining transformation models, writing modular SQL queries, and documenting data lineage.
Demonstrated ability to build and maintain data models, semantic models, and enterprise Business Intelligence (BI) reports and dashboards using tools like Looker or Omni.
5+ years of experience using python for data analysis tasks.
5+ years of experience using Git and Github for version control.
Experience working with a cloud-based data warehousing and analytics stack (Fivetran, Snowflake, dbt).
Excellent communication skills in writing and conversation, especially with non-technical partners.
A drive to understand data and key performance metrics and their relevance to our business and product decisions.
Familiarity with ETL/ELT pipelines and related tooling; understanding of relational data models, dimensional data models, and metric creation.
Experience working in agile teams and a willingness to participate in team rituals like Storytime, Story Splitting, Story Estimation, and Retrospectives.
Demonstrated ability owning meaningful metrics and KPIs by translating business problems and processes into measurable outcomes, aligning them with broader business strategy and team-level objectives.