Analytics Engineering Manager, Amplify

• BS in Computer Science, Data Science, or equivalent experience
• 5+ years of professional software development or data engineering experience
• Familiarity leading teams within an agile product development environment
• Proven examples of establishing and driving adoption of best practices in data analytics
• Expertise in computer, data, and analytics engineering
• Expertise in SQL and its use in code-based ETL frameworks preferably dbt with a focus on reuse and efficiency
• Expertise in ETL/ELT pipelines, analytical data modeling, aggregations, and metrics
• Proven ability to architect and implement efficient data models and optimize high throughput data pipelines
• Expertise with analytical modeling architectures, including the Kimball design
• Strong verbal and written communication skills Experienced in writing engineering training documentation
• Proven technical leadership in project delivery

Desirable

• We are looking for a hardworking and passionate Analytics Engineering Manager who wants to be a leader within a technology team where every engineer is responsible for the quality of our product and happiness of our students and teachers
• Managing and contributing to our data analytics teams that ingest, transform, model, and aggregate the data that empowers teams across Amplify and our customers to tell stories with their data.
• Foster a collaborative environment to ensure the team delivers clean, accurate, and reliable models and metrics for both internal and external stakeholders while coaching, mentoring, and providing guidance as needed
• Oversee all aspects of team management, including the full employee life cycle, and budgeting to ensure the team's success and alignment with company goals, while working crossfunctionally with other departments
• Participate in project and capacity planning for upcoming initiatives, working closely with cross-functional teams to allocate resources effectively and meet project deadlines
• Build data models which drive the design cycle for fun and compelling apps, helping teachers and admins understand their students by building modular data models
• Respect privacy and ensure security while offering useful insights by making inquisitive choices in tech stack, database design, masking policies, and encryption
• Help school principals understand how teachers are teaching and how students are learning by building data warehouse schemas and SQL transforms with CTEs, window functions, and pivots
• Analyze performance while removing bugs using tools such as Fivetran, Snowflake, Airflow, DBT, SQL, Python, Looker and Tableau
• Build cohesive, common data marts from sources like Salesforce, Netsuite and HubSpot to support the Marketing and Sales teams
• You will 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 while leading a team of talented analytics engineers. You will also lead the data model development and standards within Amplify and educational industry in order to deliver quality and consistent solutions
• Building 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 dataset which expresses 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 data science to measure the impact of design changes on an administrator reporting application
• Contributing to leading industry data standards, such as Caliper Analytics, EdFi, or xAPI
• Crafting 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