Data Analyst, GenAI Marketplace
ScaleSan Francisco, CA; New York, NYPosted 21 January 2026
Tech Stack
Job Description
<p>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.</p>
<h2><strong>You will:</strong></h2>
<ul>
<li>Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data analytics and insights for growth leads</li>
<li>Add contextual layer to data to enable and educate stakeholders on leveraging new data assets that you create</li>
<li>Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs</li>
<li>Be a thought partner with the broader Growth organization to simplify and improve existing data assets&nbsp;</li>
<li>Deploy AI agents to streamline analytics, creating self serve capabilities</li>
<li>Tackle business critical questions by developing hypotheses and testing and iterating on interim results</li>
<li>Partner with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps</li>
</ul>
<h2><strong>Ideally You'd Have:</strong></h2>
<ul>
<li>3+ years of industry experience in a highly analytical role</li>
<li>Degree in a quantitative field (e.g., Math, Stats,&nbsp; Engineering)</li>
<li>Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.</li>
<li>Expert knowledge in using and communicating through BI tools like Tableau</li>
<li>Working knowledge of Python and associated data libraries</li>
<li>Excellent communication and presentation skills to&nbsp; executives</li>
<li>Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</em></p></div><div class="title">Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div class="pay-range"><span>$149,600</span><span class="divider">&mdash;</span><span>$187,000 USD</span&g ... (truncated, view full listing at source)
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