Analytics Engineer
Build scalable analytics engineering infrastructure, SaaS data models, and AI-enabled workflows that support enterprise decision-making. The role requires 3–6 years of hands-on analytics or data engineering experience, strong SQL and modern data modeling expertise, and cloud data warehouse experience.
About the job
Responsibilities
- 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.
- Develop durable, extensible data assets, modeling standards, documentation, and governance frameworks.
- Partner with Revenue Operations and Finance to define and operationalize SaaS metrics such as ARR, retention, expansion, and pipeline.
- Build data foundations for internal AI applications and LLM-enabled workflows.
- Prototype and productionize AI-driven operational use cases.
- Integrate analytics and AI into workflows using tools such as Notion, Cursor, and Glean.
- Design systems that embed data into operational processes.
- Collaborate with Sales, Customer Success, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems.
- Create reusable data assets enabling activation through Hightouch and analysis through Omni.
- Ensure architecture is scalable, secure, and adaptable to evolving enterprise requirements.
Requirements
- 3–6 years of experience in analytics engineering, data engineering, or similar hands-on roles.
- Strong SQL skills.
- 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 focused on scalability, extensibility, and flexibility.
- Ability to solve ambiguous problems and build clean, durable architecture.
- Strong communication and cross-functional collaboration skills.
Nice-to-Haves
- Experience with Fivetran, dbt, Snowflake, Hightouch, Omni, Notion, Cursor, or Glean.
- Experience prototyping and productionizing AI-driven operational workflows.
Compensation and Benefits
- Annual salary: $135,000–$145,000.
- Medical, vision, and dental benefits.
- 401(k), stock options, HSA contribution, and learning stipend.
- Flexible PTO, quarterly mental escape days, and generous parental leave.
- Home office, mobile phone, and home internet stipends or reimbursements for remote employees.
Skills
SQL, dbt, Snowflake, Fivetran, ELT, Data Modeling, Dimensional Modeling, Data Contracts, BigQuery, Redshift, Hightouch, Omni, LLMs, Notion, Cursor
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