Analytics Engineer

This is a fully remote position, open to applicants in North America.

📋 Description

• Collaborate with Product and GTM (Marketing, Sales, Customer Success, and Finance) teams to transform ambiguous inquiries and operational requirements into actionable metrics, models, analyses, and workflows.

• Develop and sustain dbt models and pipelines that yield reliable insights into the product, customers, and business operations.

• Create clear, maintainable data models while enhancing testing, documentation, performance, and reliability of the data infrastructure.

• Design and implement dashboards and self-service reporting tools in Metabase and Hex, providing deeper analysis as necessary.

• Operationalize data through reverse ETL and collaborate with GTM Engineering on scoring, segmentation, automation, and internal tools.

• Balance the need for swift, pragmatic answers with the creation of durable, reusable models and workflows.

• Utilize emerging tools, LLMs, and coding agents to expedite development, analysis, testing, and documentation while ensuring accuracy.

⛳️ Requirements

• A minimum of 5 years of experience in analytics engineering, data analytics, or data engineering, preferably within a rapidly evolving software company.

• Outstanding SQL proficiency and significant hands-on experience with dbt and a modern cloud data warehouse.

• Proven history of managing data projects from inception to completion, transforming ambiguous challenges into dependable solutions.

• Strong judgment in data modeling, including considerations for grain, reusable components, interfaces, dependencies, and maintainability.

• Analytical acumen to discern when to provide quick answers, conduct thorough investigations, and translate intricate findings into straightforward recommendations.

• Ability to navigate between technical implementation and business context seamlessly.

• High ownership mentality: self-driven, practical, and willing to question requests or methodologies when necessary.

• Excellent communication skills with experience collaborating directly with both technical and non-technical teams.

• Proficient in utilizing LLMs and coding agents in daily development workflows.

• Quick learner, capable of working across the entire data lifecycle.

• Experience with or ability to adapt to tools such as Snowflake, dbt Cloud, Metabase, Hex, Hevo, Fivetran, HubSpot, Pocus, and Clay.

• Must reside in North America.

• Must be in a US-equivalent timezone.

🏝️ Benefits

• Competitive salary and equity package.

• Employee-friendly equity terms, including early exercise options in the US and extended exercise windows.

• Daily meal and coffee stipend provided on every workday.

• Paid co-working space or desk allowance.

• Health coverage based on country requirements.

• 5 weeks of paid vacation, in addition to local statutory holidays.

• 4 months of paid parental leave.

• Paid month off after 4 years of service and every 2 years thereafter.

• Regular team events and off-site gatherings.

• Remote-first work environment with no mandatory commute.