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Senior Analytics Engineer

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Full Remote
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Offer summary

Qualifications:

5+ years of experience as an analytics engineer, data engineer, or business intelligence engineer., 2+ years of experience developing in dbt, preferably in a B2B SaaS environment., Advanced proficiency in SQL and familiarity with data modeling, ETL/ELT principles, and data warehousing concepts., Strong communication and project management skills, with a critical thinking mindset..

Key responsabilities:

  • Design and maintain data transformations for accurate and scalable datasets.
  • Serve as the Architect for the dbt project, ensuring consistency in data definitions and development practices.
  • Unify metrics and definitions across data warehouse and BI tools for reliable analytics.
  • Mentor and upskill team members while collaborating with Data Engineering on scalable data pipelines.

PactSafe (acquired by Ironclad) logo
PactSafe (acquired by Ironclad) https://www.pactsafe.com
11 - 50 Employees
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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 is writing the narrative that shows how beautiful and functional contracting will change business. We’re a leader in the Forrester Wave for Contract Lifecycle Management. We have been recognized as a Fortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized by Glassdoor's Best Places to Work 2023, Forbes’ 50 Most Promising AI Companies, Wing Venture Capital's Enterprise 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, visit www.ironcladapp.com or follow us on LinkedIn and Twitter.


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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Critical Thinking
  • Communication
  • Problem Solving

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