Senior Analytics Engineer

Speak • San Francisco, CA

84d

About The Position

As an Analytics Engineer at Speak, you'll play a pivotal role in shaping the future of digital language learning, propelling us towards our mission of making language proficiency accessible to millions worldwide. Your goal is to empower everyone across the company to be able to use data to make decisions. Your work will span from creating reliable sources of truth datasets to creating metric definitions and managing tools used across teams. You'll work closely with our product, engineering, and analytics teams to ensure that our platform, powered by cutting-edge technology, is not only robust but also delivers actionable insights that enhance user engagement and learning outcomes.

Requirements

• 5+ years of relevant experience
• Deep understanding of big data warehouses (BigQuery, Snowflake, Redshift), theories, principles, and practices.
• Ability to design, implement, and manage data warehouses and cloud pipelines (GCP, AWS, dbt) effectively.
• Strong proficiency in SQL and comfort working with Python.
• Ability to write efficient, reliable, and maintainable code.
• Experience managing data platform tooling, such as data ingestion, reverse ETL, visualization, data observability, alerting, etc.
• Translate stakeholder needs into robust data models and metrics with a deep understanding of the product and business model.
• Strong problem-solving skills and the ability to approach complex challenges methodically, including data inconsistency issues.
• Ability to communicate technical information to non-technical stakeholders clearly and effectively.

Responsibilities

• Build and Optimize Data Infrastructure: Manage and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to ensure efficient data flow and processing.
• Enable Data-Driven Decisions: By collaborating with cross-functional teams, you will develop data models and metrics that facilitate critical analysis for business decisions.
• Empowerment: Proactively evaluate and evolve our tool stack to support stakeholders to make answering questions with data as frictionless as possible.
• Collaboration and Systems Thinking: As a central node on our team, you'll partner with product managers, analysts, and other engineers to design data solutions and processes for business needs.

What This Job Offers

• Number of Employees: 51-100 employees