Newsela
education technology
Sr.AnalyticsEngineer-Contractor
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Analytics Engineer - Contractor at Newsela. Skills: Data Modeling, Data Transformation, SQL, Python. Apply data engineering best practices. Transform, test, document data”
What You'll Achieve.
Provide clean and organized data sets; Transform raw data into business insights; Answer critical business questions; Drive a change in the usage of data; Deliver high-impact instruction
Industry & Context.
answer critical business questions; problem definition
What They're Looking For.
Must Have
SQL, Python, relational datastores, dbt, Tableau, cloud-based infrastructure, AWS, GCP, Terraform
Nice to Have
Mastered proficiency in SQL, advanced experience managing business semantic layer tooling, data catalog tooling, data integrity testing frameworks, dbt orchestration and best practices, deep domain knowledge of data systems, document, graph, or schema-less datastores
What You'll Do.
Apply data engineering best practices
Provide clean data sets
Provide expert code reviews
Mentor other engineers
Build composable data models
Optimize SQL query performance
Create data visualizations
Support existing analyses
Apply software engineering principles
Expand data warehouse
Apply data testing strategies
Implement validation checks
Work with stakeholders
Build tools and automation
Manage data migrations
How You'll Work.
Team & Collaboration
Work with stakeholders to define business logic; Work with stakeholders to define data expectations; Help stakeholders explore data visualization tools
Communication Scope
expert code reviews; mentorship
Process & Methodology
scoping, design, planning
Full Job Description
Seeking to hire a Senior Analytical Engineer - Contractor based out of Mexico or Argentina for Newsela's Internal Data Team. We are looking for a Senior Analytics Engineer to join our data team. Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data. You will provide clean and organized data sets to end users. You will be provide expert code reviews and mentorship to other engineers in the data space You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build. You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions. You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them. Why you'll love this role: Data Modeling and Transformation 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 our data warehouse with clean data ready for analysis. Data Quality and Testing 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 your ETL/ELT pipelines. Collaboration and Communication 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. Infrastructure and Automation Build tools and automation to run data infrastructure. Manage large-scale data migrations in relational datastores. Why you're a great fit: 8+ Years experience working with data in a software environment. Required Skills: Ma
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