About the job
We are excited to announce an opening for a Lead Analytics Engineer contractor position within our esteemed Data Team. We are specifically looking for candidates based in Mexico or Argentina.
- As a Lead Analytics Engineer, you will play a vital role in our data team.
- Reporting directly to the Hiring Manager, you will leverage data engineering best practices to enhance analytics code, ensuring efficient transformation, testing, and documentation of data.
- Your goal will be to deliver clean and organized datasets to end users.
- You will provide expert code reviews and mentorship to fellow engineers in the data domain.
- Your responsibilities will include building and maintaining composable data models and optimizing SQL query performance.
- You will convert raw data into actionable business insights by collaborating closely with stakeholders, creating analyses that address critical business questions.
- Moreover, you will craft data visualizations and assist stakeholders in navigating the available data visualization tools.
Why You’ll Love This Role:
- Utilize SQL and Python to build new analyses and support existing ones.
- Incorporate software engineering principles such as version control and continuous integration into the analytics codebase.
- Enhance our data warehouse with well-structured data primed for analysis.
Data Quality and Testing:
- Employ advanced data testing strategies to ensure datastores align with business logic.
- Implement validation checks and automated testing processes to uphold data quality in your ETL/ELT pipelines.
Collaboration and Communication:
- Engage with stakeholders to define business logic and data expectations.
- Drive a data-driven culture by surfacing insights to stakeholders proactively.
- Lead initiatives regarding problem definition, scoping, design, and planning.
Infrastructure and Automation:
- Develop tools and automation to manage data infrastructure efficiently.
- Oversee large-scale data migrations within relational databases.
Why You’re a Great Fit:
- 8+ years of experience working with data in a software environment.
- Required Skills: Mastery of SQL and Python; extensive experience with business semantic layer tooling, data catalog tooling, and data management.
