Ironclad
Senior Analytics Engineer
Job Summary
The Senior Analytics Engineer at Ironclad is responsible for developing and optimizing data infrastructure, including designing scalable data models and maintaining data quality. They will partner with various teams such as analytics, data science, and data engineering to create reliable datasets that support business insights. The role involves designing data transformations, guiding data team members, and ensuring data governance. Qualifications include extensive experience in SQL, data modeling, and data warehousing, with a focus on collaboration and problem-solving skills.
Required Skills
Benefits
Job Description
Ironclad is the #1 contract lifecycle management platform for innovative companies. Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. L’Oréal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. It’s the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
Ironclad iswriting the narrative that shows how beautiful and functional contracting will change business. We’re a leader in theForrester Wave for Contract Lifecycle Management. We have been recognized as aFortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized byGlassdoor's Best Places to Work 2023, Forbes’50 Most Promising AI Companies, Wing Venture Capital'sEnterprise Tech 30, and Gartner's Magic Quadrant. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture. We’re backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visitwww.ironcladapp.com or follow us onLinkedIn andTwitter.
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. This role offers the opportunity to shape our future data infrastructure in a high-growth environment while working on a diverse set of business-critical data initiatives.
This role will report into the Sr. Manager of GTM Data & Analytics.
What You’ll Do
Design and maintain data transformations that ensure accurate, scalable, and high-quality datasets
Serve as the Architect for our dbt project: Own and evolve the project’s architecture, design patterns, and best practices, ensuring consistency in data definitions and streamlined development.
Unify metrics and definitions across our data warehouse and BI tools, driving reliable, self-service analytics for analytics team members and cross-functional stakeholders.
Mentor & Upskill the Team: Provide guidance and code reviews to analysts and analytics engineers, fostering a culture of collaboration, learning, and excellence in dbt and data modeling.
Partner with Data Engineering to Manage Our Stack: Collaborate on the design, ingestion, and transformation pipelines—ensuring they’re scalable, efficient, and aligned with business needs.
Champion Data Privacy & Quality: Implement and uphold governance processes and compliance measures to maintain the highest standards of data integrity.
What We’re Looking For
5+ years of experience as an analytics engineer, data engineer, or business intelligence engineer and 2+ years developing in dbt, ideally at a B2B SaaS company
Advanced proficiency in SQL
Previous experience with data modeling, ETL/ELT development principles, and data warehousing concepts
Familiarity with the tools in our stack (Segment, Fivetran, BigQuery, dbt, Looker, Airflow) is preferred
A naturally inquisitive, critical thinker, who enjoys and is effective at solving problems
A demonstrated self-starter with strong communication and project management skills
Benefits:
Health, dental, and vision insurance
401k
Wellness reimbursement
Take what you need vacation policy
Generous parental leave for both primary and secondary caregivers
Base Salary Range: $175,000 - $200,000
The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Ironclad
Design and deploy any type of digital contract easily, in minutes. Collaborate across teams, mine contract data for insights. Request a demo.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.