Senior Analytics Engineer (Marketing)

Role overview

Join Taxfix as a Senior Analytics Engineer (Marketing). You will lead the design and development of scalable data models that power analytical applications, turning raw data into actionable insights for marketing strategy and budget decisions.

Key missions

• Design & build data models for analytics applications, with a focus on marketing measurement.
• Transform raw data into insights, ensuring data reliability through testing and monitoring.
• Collaborate with MarTech and Marketing teams to unify marketing measurement and integrate it with central solutions.

Responsibilities

• Advocate for and apply data modeling best practices to improve the overall data ecosystem.
• Deliver high-quality analytical data products that enable reliable marketing measurement.
• Implement monitoring and quality checks to catch issues early and make failures actionable.
• Enable self-serve analytics through BI tooling by building usable semantic layers/explores.
• Apply AI/agentic workflows (LLMs/coding agents) in daily engineering work with strong validation and quality guardrails.

Requirements

• dbt expertise (hands-on) including testing, documentation, and production workflows (dbt Cloud or Core).
• Advanced SQL and strong dimensional modeling skills.
• Experience collaborating with stakeholders; able to explain trade-offs and align on priorities.
• Marketing measurement knowledge in a B2C context across web and app, including tracking concepts, attribution, and privacy implications.
• Experience enabling self-serve BI (ideally Looker) and building semantic layers/explores.
• A strong data quality mindset with practical monitoring and quality checks.
• Experience using LLMs/coding agents/agentic workflows with rigorous validation habits.
• Experience level: strong mid-level or senior analytics engineer; typically 2+ years relevant experience and ability to independently deliver high-quality analytical data products.

Nice to have

• Familiarity with agentic/LLM workflows specifically in analytics engineering tasks.
• Deep experience with marketing measurement unification across decentralized analytics efforts.