Amplify · 6 hours ago
Analytics Engineering Manager
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Responsibilities
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.
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.
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.
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.
Qualification
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Required
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.
Preferred
Fluency in a development language such as Python.
Familiarity with metadata management tools such as Atlan.
Building dashboards, reports, and models in business intelligence tools such as Tableau or Looker.
Expertise in: Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) and Postgres
ETL/ELT: Airflow, dbt, Matillion, Fivetran
BI: Looker, Tableau
Experience with tools we don’t use, but should consider using.
Passion and talent for teaching fellow engineers and non-engineers.
Passion for building and learning: open source contributions, pet projects, self-education, and Stack Overflow.
Experience in education or ed-tech preferred
Benefits
401(k) plan
Competitive health insurance and mental health options
Basic life insurance
Paid time off
Parental leave
Access to best-in-class development programs
Company
Amplify
A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and formative assessment.
H1B Sponsorship
Amplify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (3)
2022 (10)
2021 (7)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$215MKey Investors
Cox Enterprises
2023-05-23Series C
2021-10-26Series Unknown· $215M
Leadership Team
Recent News
Google Patent
2024-11-02
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