Ontic Technologies is hiring a hands-on R&D Analytics Engineer to build and scale the data and AI foundation for its enterprise SaaS business.

Design and maintain scalable dbt data models in Snowflake as trusted sources of truth
Architect data pipelines and transformation workflows using Fivetran and modern ELT practices
Create durable, extensible data assets that continue to evolve as the company scales
Define modeling standards, documentation practices, and governance frameworks
Partner with RevOps and Finance to define and operationalize core SaaS metrics such as ARR, retention, expansion, and pipeline
Build data foundations that support internal AI applications and LLM-enabled workflows
Prototype and productionize AI-driven operational use cases
Integrate analytics and AI into day-to-day workflows using tools such as Notion, Cursor, Glean, and other emerging platforms
Design systems that embed data directly into operational processes rather than dashboards only
Collaborate 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 remains scalable, secure, and adaptable to changing enterprise requirements

Experience in analytics engineering, data engineering, or similar hands-on roles
Strong SQL skills and deep understanding of modern data modeling concepts such as dimensional modeling, transformations, and data contracts
Experience working with cloud data warehouses including Snowflake, and familiarity with BigQuery and Redshift
Comfort working in a fast-moving, evolving AI tooling landscape
Systems-level thinking focused on scalability, extensibility, and flexibility
Natural curiosity and energy for solving ambiguous problems
Strong ownership of clean, durable architecture, not quick fixes
Ability to communicate effectively and collaborate across business and technical teams

Analytics Engineer

Job Description