Newsela is seeking a Lead Analytics Engineer to join the data team, reporting to the Hiring Manager. The role involves applying data engineering best practices to analytics code, building composable data models, ensuring data quality, and delivering clean datasets and actionable insights to stakeholders.
What You'll Do
- Apply data engineering best practices to analytics code to transform, test, and document data
- Provide clean and organized data sets to end users
- Provide expert code reviews and mentorship to other engineers in the data space
- Build and maintain composable data models
- Optimize SQL query performance for the models built
- Transform raw data into business insights by working closely with stakeholders
- Develop analyses to answer critical business questions
- Create data visualizations
- Help stakeholders explore and understand the data visualization tools available to them
- Build new analyses and support existing ones using SQL and Python
- Apply software engineering principles like version control and continuous integration to the analytics codebase
- Expand the data warehouse with clean data ready for analysis
- Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic
- Implement validation checks and automated testing procedures to manage data quality in ETL/ELT pipelines
- Work with stakeholders to define business logic and data expectations
- Help drive a change in the usage of data by actively surfacing insights to stakeholders
- Lead initiatives and problem definition, scoping, design, and planning
- Build tools and automation to run data infrastructure
- Manage large-scale data migrations in relational datastores
What We're Looking For
- 8+ Years experience working with data in a software environment
- Mastered proficiency in SQL and Python
- Advanced experience managing business semantic layer tooling
- Advanced experience managing data catalog tooling
- Advanced experience managing data integrity testing frameworks
- Experience with dbt orchestration and best practices
- Track record of working autonomously and proactively
- Deep domain knowledge of data systems
Technical Stack
SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt, Tableau, AWS, GCP, Terraform, document datastores, graph datastores, schema-less datastores
Team & Environment
Reports to the Hiring Manager.
Benefits & Compensation
- This role will not be eligible to participate in company-sponsored benefits
Work Mode
This position is available to candidates based in Mexico and Argentina. The role supports remote work within these locations.
We are an equal opportunity employer, committed to diversity and inclusion in the workplace.
