About the job
About Creative Fabrica
Creative Fabrica is an innovative subscription platform that empowers millions of creators, designers, and crafters globally. We believe creativity should be accessible to all, breaking down barriers such as costly software, technical know-how, and time-consuming production processes.
Our Studio AI suite boasts over 26 specialized AI tools that streamline technical tasks, enabling you to generate bespoke images, eliminate backgrounds, design fonts, and create publication-ready materials in mere minutes.
With a content library featuring over 15 million commercially licensed fonts, graphics, SVGs, and templates, we provide high-quality resources without the hassle and expense of developing assets from scratch.
About the Role:
As a rapidly expanding company, data is integral to our operations, from deciphering how customers find us to determining which new features to implement. We seek a Data Analyst who goes beyond merely constructing dashboards and probes deeper: Why are users engaging in certain behaviors, and what actions should we take in response?
You will bridge the gap between engineering and business strategy, trusted by leadership for delivering accurate data and clear narratives, while also ensuring the team has smooth operational pipelines. This is a unique opportunity for an analyst eager to contribute to building a thriving data ecosystem. If this aligns with your aspirations, we’d love to connect!
What You Will Do:
- Enhance business performance through proactive data analysis, insightful reporting, and strategic recommendations that resonate with leadership.
- Manage and refine our data pipelines, guaranteeing data is current, precise, and reliable when it counts.
- Develop and sustain dbt models that fulfill ongoing business requirements across Growth, Finance, and Product teams.
- Act as the storyteller in the room, translating complex findings into clear narratives that drive decision-making.
- Monitor pipeline health, proactively addressing issues, and advocating for continuous data quality improvements.
