Senior Analytics Engineer - Marketing (d/f/m)

at  Taxfix

OUR STORY:

Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We’re working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Berlin and Madrid, Team Taxfix is a compassionate group of solution-finders. We speak our minds openly, and with 500+ professionals from 45+ different nationalities, we’re rich in ideas and voices. In four years, we’ve raised over 300 million euros in funding and helped people reclaim more than one billion euros.

YOUR TEAM:

Our Data Analytics teams at Taxfix are domain-focused. You will join our Marketing Analytics team, working closely with Marketing across multiple brands. Our Analytics Engineers operate in a decentralized way within their teams but come together through the Analytics Engineering Guild, where we share best practices and solve problems collaboratively.
Our tech stack includes Snowflake, dbt Cloud, Looker, Segment.io, Singular, Airbyte, Airflow, and other tools. We are looking for a pragmatic problem-solver who thrives on getting things done while maintaining a keen eye for detail. You approach challenges with precision and care, ensuring that your solutions are not only effective but also robust and scalable. You should be comfortable advocating for data modeling best practices and helping us continuously improve our data ecosystem.

• Design and maintain complex, high-quality dimensional data models that stand the test of time.
• Develop and optimize data pipelines using dbt, with thorough documentation.
• Implement robust data quality checks and strategies that keep our data accurate and trustworthy.
• Maintain and optimize existing data analytics solutions, addressing and resolving issues promptly to ensure seamless performance.
• Build or expand Looker Explores and Dashboards to deliver actionable insights.
• Become an expert in marketing-relevant tracking, data sources, privacy considerations and attribution.
• Own projects end to end, from idea generation and requirements gathering to successful implementation.
• Set standards and regularly exchange knowledge with fellow Analytics Engineers to continuously improve our craft.