Ironclad
AI contracting platform
SeniorAnalyticsEngineer
Neural analysis suggests this role is
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“Senior Analytics Engineer at Ironclad. Skills: dbt, SQL, Data Modeling, AI. Develop and optimize dbt infrastructure. Implement scalable data models”
What You'll Achieve.
understanding our business; empower analytics and business teams; perform advanced, LLM-driven analysis; drive seamless self-service analytics; high-accuracy results in AI-powered exploration tools; accelerate code generation; accelerate documentation; accelerate testing; enable intuitive, natural-language data exploration
Industry & Context.
inquisitive problem-solver; deconstructing complex business challenges; finds the most pragmatic path to a solution
What They're Looking For.
Must Have
5+ years as an analytics engineer, 2+ years developing in dbt, Advanced proficiency in SQL, grasp of data modeling, Proficiency in leveraging AI coding assistants, Experience building 'AI-ready' documentation, Hands-on experience with Fivetran, Hands-on experience with BigQuery, Hands-on experience with dbt, Hands-on experience with Github, Hands-on experience with Airflow, Hands-on experience with Looker, Hands-on experience with Hex, Critical Thinking, Ownership, Communication clarity
Nice to Have
dbt experience within B2B SaaS, interest in building 'AI-ready' documentation, modern exploration platforms like Hex
What You'll Do.
Develop and optimize dbt infrastructure
Implement scalable data models
Ensure consistent business logic
Design reliable datasets
Leverage AI for data pipelines
Architect 'AI-ready' data assets
Design and maintain transformations
Serve as Architect for dbt project
Standardize metrics across BI tools
Provide guidance and code reviews
Integrate AI-assisted workflows
Architect 'AI-ready' data
Partner with Data Engineering
Champion data privacy and quality
How You'll Work.
Team & Collaboration
Partner cross-functionally with analytics; Partner cross-functionally with data science; Partner cross-functionally with data engineering; Partner cross-functionally with data-savvy business stakeholders; Collaborate with analysts and analytics engineers; Partner with Data Engineering
Communication Scope
communication clarity to bridge the gap
Process & Methodology
project management skills to lead initiatives
Full Job Description
Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com http://www.ironcladapp.com or follow us on LinkedIn. ABOUT THE ROLE As a Senior Analytics Engineer, you will be responsible for developing and optimizing our dbt infrastructure, implementing scalable data models, and ensuring consistent business logic across a fast-growing organization. You will partner cross-functionally with analytics, data science, data engineering, and data-savvy business stakeholders to design reliable and consistent datasets that serve as the foundation for understanding our business. In this role, you will play a pivotal part in our AI transformation. You will leverage AI to boost the efficiency of our own data pipelines while architecting "AI-ready" data assets that empower our analytics and business teams to perform advanced, LLM-driven analysis. This role will report into the Sr. Manager of Analytics Engineering. What You’ll Do - Data Transformation: Design and maintain transformations that ensure accurate, scalable, and
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