[Hiring] R&D Analytics Engineer @Ontic

Role Description

We are hiring a dedicated R&D Analytics Engineer to help build and scale the data and AI foundation of our enterprise SaaS business. Reporting to the Sr. Director of AI & Analytics within our centralized Operations organization, this is a highly hands-on role focused on architecting scalable analytics systems and AI-enabled workflows that power decision-making across the company. This is a foundational hire with high ownership and long-term growth potential.

What You'll Do

• Enterprise Data Modeling & Architecture
  • Design and maintain scalable dbt data models in Snowflake that serve as trusted sources of truth across the business.
  • Architect data pipelines and transformation workflows using Fivetran and modern ELT practices.
  • Develop durable, extensible data assets that evolve as the company scales.
  • Establish modeling standards, documentation practices, and governance frameworks.
  • Partner with RevOps and Finance to define and operationalize core SaaS metrics (ARR, retention, expansion, pipeline, etc.).
• AI-Enabled Systems & Workflow Integration
  • Build data foundations that power internal AI applications and LLM-enabled workflows.
  • Prototype and productionize AI-driven operational use cases.
  • Integrate analytics and AI into everyday workflows using tools such as Notion, Cursor, Glean, and other emerging platforms.
  • Design systems that embed data directly into operational processes — not just dashboards.
• Cross-Functional Analytics Infrastructure
  • Partner with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems.
  • Create reusable data assets that enable activation via Hightouch and analysis via Omni.
  • Ensure architecture is scalable, secure, and adaptable to evolving enterprise requirements.

Our Stack

• Analytics: Fivetran, dbt, Snowflake, Hightouch, Omni
• AI & Knowledge Systems: Notion, Cursor, Glean

Qualifications

• 3-6 years of experience in analytics engineering, data engineering, or similar hands-on roles.
• Strong SQL skills and deep understanding of modern data modeling (dimensional modeling, transformations, data contracts, etc.).
• Experience building in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Comfort working in a fast-moving, evolving AI tooling landscape.
• Systems-level thinker who designs for scalability, extensibility, and flexibility.
• Naturally curious and energized by solving ambiguous problems.
• Pride in building clean, durable architecture — not just shipping quick fixes.
• Strong communication skills and ability to collaborate across business and technical teams.

Benefits

• Competitive Salary
• Medical, Vision & Dental Benefits
• 401k
• Stock Options
• HSA Contribution
• Learning Stipend
• Flexible PTO Policy
• Quarterly company ME (mental escape) days
• Generous Parental Leave policy
• Home Office Stipend
• Mobile Phone Reimbursement
• Home Internet Reimbursement for Remote Employees
• Anniversary & Milestone Celebrations