Analytics Engineer

Ontic

6d•$135,000 - $145,000

About The Position

Ontic is hiring a dedicated Analytics Engineer to help build and scale the data and AI foundation of its enterprise SaaS business. Reporting to the Sr. Director of AI & Analytics within the centralized Operations organization, this hands-on role focuses on architecting scalable analytics systems and AI-enabled workflows that support company decision-making. The role will design core data models, architecture, and reusable assets for Product, Engineering, and Design, while helping evolve the analytics function for the age of AI. It is a foundational hire with high ownership and long-term growth potential. The Analytics Engineer will build and maintain data models and pipelines, establish standards and governance, and partner with teams across the company to operationalize business metrics. They will also create data foundations for internal AI applications, integrate analytics and AI into operational workflows, and develop scalable infrastructure for data activation and analysis. Ontic’s analytics stack includes Fivetran, dbt, Snowflake, Hightouch, and Omni; its AI and knowledge systems include Notion, Cursor, and Glean. Experience with these tools is helpful but not required. Strong fundamentals and the ability to learn new technologies quickly are valued. Ontic describes this as an AI-augmented analytics capability that embeds data into operational workflows, supports enterprise decision-making, and treats architecture as a strategic asset.

Requirements

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, including dimensional modeling, transformations, and data contracts.
Experience building in cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Comfort working in a fast-moving, evolving AI tooling landscape.
Systems-level thinking and the ability to design for scalability, extensibility, and flexibility.
Curiosity and enthusiasm for solving ambiguous problems.
Pride in building clean, durable architecture rather than just shipping quick fixes.
Strong communication skills and ability to collaborate across business and technical teams.

Nice To Haves

Experience with Pendo, Amplitude, Heap, or Mixpanel.
Experience with Ontic’s analytics tools, including Fivetran, dbt, Snowflake, Hightouch, or Omni, is helpful but not required.
Experience with AI and knowledge systems such as Notion, Cursor, or Glean is helpful but not required.

Responsibilities

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, including ARR, retention, expansion, and pipeline.
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.
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.
Understand and adhere to Ontic Security and Privacy policies to protect company and client data.