Senior Analytics Engineer

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

📋 Description

• Develop and enhance data pipelines and analytical tools for scalability.

• Work in collaboration with both technical and non-technical sectors of the organization.

• Contribute to essential data assets for fair book of business allocations.

• Create and sustain semantic models for analytics and AI utilization.

• Construct scalable data models tailored for the HubSpot enterprise.

• Broaden the array of dbt patterns and macros.

• Ensure data observability and the reliability of pipelines.

• Develop analytical applications using Hex.

• Collect requirements from internal stakeholders.

• Document data pipelines, processes, and best practices.

• Share analytics best practices throughout HubSpot’s wider data community.

⛳️ Requirements

• Familiarity with contemporary data tools (such as Snowflake, dbt, and Looker).

• Expertise in SQL, data modeling, ETL, ELT, and data transformation.

• Practical experience with dbt, including modeling patterns, macros, and testing.

• Background in developing slowly changing dimension (SCD) tables from various sources.

• Ability to navigate through inherited complexities.

• Proficient communication skills across diverse platforms.

• Experience in writing and reviewing technical documentation.

• Involvement in cross-functional data projects.

• Knowledge of semantic models or metric layers for analytics consumption.

• Comfort with AI-driven development tools.

• Experience with version control systems (such as GitHub Enterprise Cloud).

• A collaborative approach with meticulous attention to detail.

🏝️ Benefits

• Cash compensation includes base salary and target commission.

• Participation in equity plan through RSUs.

• Eligibility for overtime compensation.

• Individualized compensation packages tailored to skills and experience.