Analytics Engineer II

Wood Mackenzie

Analytics Engineer creating and maintaining data models on the Snowflake platform. Collaborating with cross-functional teams to enhance data infrastructure and analytics capabilities.

Posted 5/15/2026full-timeBeijing • 🇨🇳 ChinaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AWSCloudSQL

About the role

Key responsibilities & impact

Designing, developing, and maintaining scalable and efficient data models and transformation pipelines in Snowflake using dbt.
Building and managing data transformation workflows, ensuring data is timely, accurate, and ready for analysis.
Implementing data quality tests and documentation to ensure the reliability and trustworthiness of the data.
Working closely with data analysts, data engineers, and business stakeholders to understand data requirements and deliver actionable insights.
Identifying opportunities to improve data processes, optimize performance, and ensure the scalability of the data platform.
Acting as a subject matter expert on dbt and Snowflake, providing guidance and best practices to the wider data team.

Requirements

What you’ll need

A Bachelor’s degree in a quantitative field such as Data Science, Computer Science, or a related discipline.
2-4 years of hands-on experience in a data-focused role, with proven experience in data modeling and transformation.
Advanced proficiency in SQL for complex querying and data manipulation.
Demonstrable experience with dbt and cloud data warehouses, particularly Snowflake.
Proficiency with GitHub and AWS tools such as Step Functions, Athena, and S3, etc.
Strong discipline in attention to detail, data accuracy, and structured working practices.
Reliable execution and ownership of deliverables.
Proactive learner with genuine curiosity for emerging technologies and a commitment to continuous professional development.

Benefits

Comp & perks

Inclusion and diversity commitment
Commitment to sustainability
Recognition programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingdata transformationSQLdbtdata quality testsdata analysisdata processes optimizationdata pipelinesdata accuracydata reliability

Soft Skills

attention to detailreliable executionownership of deliverablesproactive learnercuriosity for emerging technologiescommitment to continuous professional development