Analytics Engineer, Amplify

• BS in Computer Science, Data Science, or equivalent experience
• 3+ years of professional software development or data engineering experience
• Strong computer, data, and analytics engineering fundamentals
• Proven fluency in SQL and its use in code-based ETL frameworks preferably dbt
• Understanding of ETL/ELT pipelines, analytical data modeling, aggregations, and metrics
• Strong understanding of analytical modeling architectures, including the Kimball dimensional data model design
• Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form

Desirable

• Our data analytics teams ingest, transform, model, and aggregate the data that empowers teams across Amplify and our customers to make sense of and tell stories with their data. You’ll be working with data scientists, data analysts, and data engineers to provide clean, accurate, reliable models and metrics for our products and internal business partners
• Impress the toughest customers around – students – by building the analytical models which drive the design cycle for fun and compelling apps, helping them understand their students by building modular data models
• Help school administrators build great schools by:
• Respecting privacy and ensuring security while offering useful insights by making inquisitive choices in tech stack, database design, masking policies, and encryption
• Helping school principals understand how teachers are teaching and how students are learning by architecting data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots
• Analyzing performance and squashing tricky bugs using tools like Fivetran, Snowflake, Airflow, DBT, SQL, Python, Looker and Tableau
• Make life better for passionate, Marketing and Sales teams by building cohesive, common data marts from ERP and CRM source systems like Salesforce, Netsuite and HubSpot
• Learn every day by:
• Immersing yourself in agile rituals and leveraging our infrastructure
• Collaboration, pull request-ing, CI/CD processes and mentoring on a multi-functional team
• Participating in cross-team share-outs, brownbags, and workshop series
• Becoming an expert in the data models and standards within Amplify and demonstrating the educational industry in order to deliver quality and consistent solutions
• Example Projects You Might Work On
• Build well-tested and documented ELT data pipelines for both full and incremental dbt models to funnel into a fact and dimensional data mart
• Work closely with sales on logistics pipeline forecasting and sales pipeline tracking to help focus our sales teams in the right areas for the biggest impact
• Align with finance on making sure we have well audited data inline with established financial best practices
• Engineer novel datasets which express a student's progress and performance through an adaptive learning experience which allows for flexible comparison across students and deep analysis of individual students
• Work with the data science team to measure the impact of design changes on an administrator reporting application
• Contribute to leading industry data standards, such as Caliper Analytics, EdFi, or xAPI
• Craft slowly changing dimensional models that take into account the nuances of K-12 education such as School Year changes and students moving schools or classes