Data Analyst
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 130 - 170
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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. Were already helping thousands of customers including Anthropic Waste Management Figma and Ramp go to market with unique data signals and AI research.
In 2025 we crossed $100M in revenue and raised a $100M Series C at a $3.1B valuation backed by world-class investors including Sequoia CapitalG and First Round. We also completed our first first employee tender offer and launched a community equity round for our customers agency partners and club members.
Some things to know about us:
Our community includes 11000 customers 150 integration partners 125 agencies 50 Clay clubs and 30k members on Slack.
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 Analytics @ Clay
Were looking for a Data Analyst to help make Clay data-driven from the ground up. Youll 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 early 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 youll 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
Support reverse ETL workflows using Census helping make modeled data actionable in the tools teams use day-to-day.
Translate questions into insight
Partner with cross-functional teams to turn ambiguous questions into clear useful analytical outputs.
What were 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
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
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
Implement your creative growth ideas to build pipeline for your sales team. First, maximize your data coverage with 75+ enrichment tools and our AI agent. Then, use AI to craft the perfect outreach.
