Analytics Engineer

Remote, United Statesfull timeRemote

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mid

$135k–$145k

H1B: no

Ontic The Analytics Engineer at Ontic designs and maintains scalable data models and AI-enabled workflows to support enterprise SaaS business decision-making. This role involves architecting data pipelines, partnering cross-functionally, and integrating analytics into operational processes.

Responsibilities

This is a foundational hire with high ownership and long-term growth potential.
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

Qualification

Reporting to the SrComfort working in a fast-movingPride in building cleanWhy This Role MattersEmbeds data into operational workflowsEnables fasterEvolves as AI tooling evolves

Required

We are hiring a dedicated 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.
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

Preferred

Why This Role Matters
We are not building a traditional BI function.
We are building an AI-augmented analytics capability that:
Embeds data into operational workflows
Enables faster, smarter enterprise decision-making
Evolves as AI tooling evolves
Treats architecture as a strategic asset, not a back-office utility
You won’t just build dashboards — you will help shape how analytics and AI power our company over the next several years.

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU
Parental Leave

Company

Ontic

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Source: ashby

Active within the past hour

Remote-friendly

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