Analytics Engineer (Marketing)

Responsibilities:

• Design, develop, and maintain data models (e.g., in dbt) that align with the overall data architecture and business requirements.

• Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis.

• Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed.

• Incorporate data quality checks and cleansing routines to ensure datasets are reliable and accurate.

• Work closely with data analysts and other analytics engineers to ensure consistency and accuracy in metrics and definitions across the team.

• Contribute to team processes by occasionally leading portions of meetings or sharing improvements to analytics workflows.

Qualifications:

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics).

• At least 3 years of experience in a similar data analytics engineering or BI development role.

• Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts.

• Hands-on experience with business intelligence platforms (e.g., building dashboards in Looker, Tableau, or similar).

• Basic programming skills in Python or a similar language for data processing and automation.

• Proven ability to handle multiple data projects, troubleshoot data issues, and meet deadlines.

• Good communication skills, with the ability to collaborate with technical and non-technical team members.

Benefits

• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• The flexibility of remote work, including optional WeWork access