Marketing Data Engineer

Responsibilities

- Data detective: Unearth trends and patterns to fuel growth.
- Data pipelines: Build infrastructure with Google Tag Manager, GA4, Python, Airbyte, Bigquery, Dataform, BQML and the latest tools.
- Reports and visualizations: Craft compelling dashboards that turn complex data into actionable insights.
- Results: Collaborate with our kick-ass engineering, analytics, and account management teams to deliver unparalleled client service.

Requirements

- You are SOLID with Google Tag Manager, APIs, GA4, ETL workflows, Python/JavaScript, SQL querying, SQL orchestration, and dashboards. (We're talking Airbyte, Fivetra, BigQuery, Snowflake, DBT, Dataform, Data Studio, Power BI...)
- Born Problem-solver:
You find solutions to tricky problems that others miss.
- Communication like a boss: Written and oral English skills that impress clients.
- Getting sh!t done: You focus on the one or two things that really move the needle, without needing to be micro-managed.
- Systematic: You're a natural at writing SOPs that drive repeatability, while reducing risk.
- Report-crafter: You make no-nonsense reports that showcase ad performance, attribution, velocity of return, and subscription trends.

Benefits

- Learn with the best: Grow with a team who constantly innovates at the forefront of marketing analytics.
- Competitive salary.
- Remote freedom: Manage your schedule and work from anywhere.
- Unleash your inner data beast: Continuous learning and professional development opportunities.

How to Apply

- If this sounds like you, we'd love to hear why (in as few words as possible). Be sure to reference #MAC014 in the first paragraph.
- (NOTE: Only shortlisted candidates will be asked to submit a resume.)
- Job Type: Full-time

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