About the job
About Creative Fabrica
Creative Fabrica is a premier subscription platform catering to millions of creators, designers, and crafters around the globe. Our mission is to empower creativity by eliminating barriers such as costly software, technical hurdles, and time-intensive production processes.
Our Studio AI suite is equipped with over 26 specialized AI tools that streamline technical tasks, enabling users to generate custom images, remove backgrounds, create fonts, and produce ready-to-publish designs in mere minutes.
With a content library boasting over 15 million commercially-licensed fonts, graphics, SVGs, and templates, we provide professional-quality resources without the hassle or expense of building assets from the ground up.
About the Role:
As a rapidly expanding organization, data serves as the foundation of our operations—from understanding customer discovery to determining which new features to implement. We are seeking a Senior Data Analyst who goes beyond mere dashboard creation and delves into deeper inquiries: Why are users engaging in certain behaviors, and What actions should we take in response?
Your position will bridge the gap between engineering and commercial decision-making, as you are relied upon by leadership to provide trustworthy data and compelling narratives, while also ensuring the smooth operation of data pipelines. This is an exciting opportunity for an analyst eager to make an impact. If this aligns with your aspirations, we would love to connect!
Key Responsibilities:
- Enhance Business Performance: Through proactive data analysis, insightful reporting, and actionable insights that resonate with leadership.
- Manage Data Pipelines: Own and refine our data pipelines, ensuring data integrity and accuracy when it matters most.
- Develop and Maintain dbt Models: Create models that address ongoing business needs across Growth, Finance, and Product.
- Communicate Insights Effectively: Act as the storyteller, presenting findings and translating complex data into straightforward narratives that drive decision-making.
- Monitor Data Pipeline Health: Keep a vigilant eye on pipeline performance, proactively troubleshoot issues, and advocate for continuous improvements in data quality.
