About the Role
Scale is looking for a Senior Data Analyst to help advance AI development in the Generative AI sector. This role will partner with leadership, operators, and engineers in our Growth Operations team to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will directly evolve how Scale operates and measures its growth strategies, funnels, and pipelines. The ideal candidate is detail oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems.
Responsibilities
- Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data analytics and insights for growth leads
- Add contextual layer to data to enable and educate stakeholders on leveraging new data assets that you create
- Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs
- Be a thought partner with the broader Growth organization to simplify and improve existing data assets
- Deploy AI agents to streamline analytics, creating self serve capabilities
- Tackle business critical questions by developing hypotheses and testing and iterating on interim results
- Partner with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps
Requirements
- 3+ years of industry experience in a highly analytical role
- Degree in a quantitative field (e.g., Math, Stats, Engineering)
- Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.
- Expert knowledge in using and communicating through BI tools like Tableau
- Working knowledge of Python and associated data libraries
- Excellent communication and presentation skills to executives
- Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies