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We don’t want founders to feel stressed about hiring Sr. product designers, or worry after they’ve hired them.

And we want to do this without making their wallets cry!

Versatile.club

A mid-level marketing/media data analys from an agency, in-house marketing analytics team, or martech/adtech company, someone who can own data end-to-end and tell its story to non-technical and client stakeholders.
Education: Bachelor's in Computer Science or a related quantitative field (data science, mathematics, statistics) or equivalent work experience.
Must-have skills
<ul>
<li>Expert-level SQL and Excel</li>
<li>Building business/campaign performance dashboards and reports (Tableau, Google Data Studio)</li>
<li>Experience with at least one major cloud provider</li>
<li>Data warehouses/lakes &amp; large-scale analytics platforms - Snowflake and BigQuery</li>
<li>Advanced data quality processes and measurement techniques</li>
<li>Connecting data across sources/warehouses/viz tools via API</li>
<li>Strong analytical thinking, critical assessment of data sources, high attention to detail</li>
<li>Data storytelling; translating business questions into queries and insights into plain-language recommendations</li>
<li>Comfortable handling both internal and client requests in a fast-changing ad-tech landscape; effective as team player and independent contributor</li>
</ul>
Strong plus
<ul>
<li>Python, R, or another programming language</li>
<li>Google Ads, Google Analytics, Freewheel/Strata, DSPs and other media platforms</li>
<li>Digital marketing/advertising fluency and marketing KPIs (CPA, ROAS, attribution)</li>
<li>Statistical concepts; relational/NoSQL databases; machine learning</li>
<li>Prior agency, business, or consulting experience</li>
</ul>

Data Analyst - Media

Total years of experience*