Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
Data roles in SaaS increasingly sit at the intersection of product usage, go to market execution, and the metric definitions that shape decision making. This Data Analyst position stands out because it is explicitly framed as building foundational analytics from the ground up, with day to day partnership across Product and Go to Market. In a product and growth oriented SaaS context, that combination tends to surface the real questions behind adoption, retention, and revenue performance rather than isolated reporting.
The career value here is the chance to develop modern SaaS analytics craft in a practical stack and workflow. Owning metrics tables and data models, then operationalizing them through dashboards and reverse ETL, builds fluency in how SaaS teams turn raw events into trusted KPIs and actions. Experience working primarily in SQL, with optional notebook analysis, also translates well across SaaS companies where analytics engineering and self serve BI are becoming standard.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About Clay
Our mission is to help organizations turn any growth idea into reality.
We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research.
In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue.
In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.
Some things to know about us:
Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
Our cultureis unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
All employees can work for free with world-class coaches who specialize in creativity, management, and more.
Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.
Read about us in the NYT, Forbes, First Round Review, and more.
Hear from our employees directly on our Glassdoor page!
Data @ Clay
We’re looking for a Data Analyst to help make Clay data-driven from the ground up. You’ll join a team of experienced data scientists and analytics engineers, while partnering closely with Product and Go-to-Market teams to build foundational data models, dashboards, and analyses that teams rely on every day.
This role is ideal for someone earlier in their data career who wants to learn quickly from senior teammates, take on meaningful ownership from day one, and do that work inside one of the fastest-growing AI startups while digging deeply into data to understand why things are happening, not just what is happening.
What you’ll do
Build and own analytics data models
Write clean, maintainable SQL against Snowflake to power core metrics, dashboards, and analytical workflows.
Build and iterate on analytics metrics and tables
Build and iterate on metrics and tables in dbt, and surface them through dashboards in Sigma to help teams understand product usage, performance, and change over time.
Explore data deeply to answer open-ended questions
Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to investigate trends, anomalies, and product behavior and connect analyses back to real business questions.
Help operationalize data
Translate questions into insight
What we’re looking for
Strong SQL fundamentals — comfortable with joins, CTEs, window functions, and clear query structure
Experience building analytical data models or metrics tables using dbt or similar analytics-engineering workflows
Comfortable working with BI tools like Sigma, Looker, Tableau, Mode, or similar
Strong analytical intuition — able to ask the right questions, explore data thoughtfully, and synthesize clear, well-reasoned conclusions
Clear communicator who can share insights with technical and non-technical partners
Deeply curious about product usage and business performance — motivated to go beyond the what to understand the why, without getting lost in rabbit holes
2+ years of full-time work experience in a related role
Nice to have
Experience with Snowflake or other similar cloud data warehousing tools
Comfortable using SQL as the primary analysis tool, with the ability to use Python or R when helpful for deeper or more efficient analysis
Familiarity with Hex or other notebook-based analysis tools
Familiarity with Census or other reverse ETL tools
Prior experience in a product-led or B2B SaaS environment
