Analytics Engineer
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 155 - 210
Posted on:
30+ days 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 Notion Google 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 $5B valuation backed by world-class investors including Sequoia CapitalG and First Round. We also completed our second 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!
Analytics Engineering @ Clay
Were looking for an Analytics Engineer to bridge the gap between raw data infrastructure and high-impact business insights and data products. Youll take ownership of our data models pipelines and platform architecture to ensure our analytics and data science foundation is scalable durable and consumable. Your work will enable better decision-making across teamsfrom product and engineering to marketing finance and ops.
Clays modern data stack includes Fivetran Segment Snowflake dbt Dagster Streamlit Hex Sigma Eppo Census and youll play a key role in shaping how we use and evolve it to power strategic insight and operational excellence.
What youll do
Own data pipelines: Design build and maintain reliable ETL/ELT pipelines ensuring timely and accurate delivery of high-quality data across the organization.
Build a scalable foundation: Find ways to leverage and improve our current data models by architecting resilient maintainable dbt models that serve as the trusted source of truth for analytics experimentation and data products.
Collaborate cross-functionally: Work closely with data scientists engineers and business teams to understand use cases and proactively develop data assets that support their goals effectively and scalably.
Drive architectural improvements: Identify opportunities to consolidate and improve our data platform proposing improvements that ensure long-term scalability and flexibility.
Improve data quality discoverability and metric clarity: Design and implement robust systems for schema design data validation documentation and governance while defining and standardizing core business metrics and semantic definitions to ensure consistency across teams and tools.
Support self-serve insights: Enable teams with intuitive trustworthy data products and tooling that allow less-technical users to explore data and develop solutions independently.
Plan for the future: Help define the evolution of Clays data stack and architecture including how we consolidate transform and surface data and intelligence for emerging use cases.
What youll bring
6 years of hands-on experience in analytics engineering data engineering or data management
Strong ownership mentality and proven ability to design for scalability durability and reusability
Expert in SQL Python AWS infrastructure and modern data tools (emphasis on dbt Dagster/Airflow)A passion for pragmatic solutioning while staying current on modern data and AI tooling pushing the boundaries of GenerativeAIs role in Data Products and workflows
Excitement for iterative agile development processes and collaboration with diverse teams
Required Experience:
IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- 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.
