Analytics Engineer

This is a fully remote position, open to applicants in Alaska, +10 more states.

📋 Description

• Develop and sustain data transformations utilizing dbt for analytics, enabling end users to perform self-service reporting and data exploration.

• Implement software engineering best practices to produce efficient, well-tested code and contribute to enhancing the performance and automation of the ELT process and analytic workflows.

• Collaborate with data analysts, data engineers, and business stakeholders to collect and convert data requirements for downstream analyses and projects.

• Support initiatives across the company aimed at improving data quality, accessibility, and governance.

• Ensure the quality and integrity of data by writing and maintaining tests.

• Engage in assessments of analytics tools to address the organization's needs.

• Adhere to and contribute to the best practices, workflows, and documentation of the data team as we establish a sustainable and scalable data function.

• Diagnose data issues and effectively communicate findings and processes to internal stakeholders, escalating complex problems as necessary.

• Collaborate closely with senior team members on intricate modeling and architectural decisions, with the potential for increased responsibility over time.

• Utilize a modern data stack including Fivetran, Snowflake, dbt, Hightouch, Snowplow, DeepNote, Metaplane, and Omni.

• Work in partnership with Marketing, Product, Client Success, and Care Team.

• Report directly to the VP of Data, Product, and Engineering Operations.

⛳️ Requirements

• 2–5 years of experience in analytics engineering or a related field.

• Proficiency in analytics modeling (e.g., dimensional modeling, staging/intermediate/mart layers).

• Strong SQL capabilities.

• Practical experience in building and maintaining data transformations using dbt or comparable tools.

• Familiarity with the command line and version control (git).

• Experience querying a cloud data warehouse (e.g., Snowflake, BigQuery, or Redshift).

• Familiarity with AI tools (e.g., Claude, Cursor, GitHub Copilot) for writing, explaining, and conducting QA on code, as well as the discernment to review, test, and validate AI-generated outputs before production deployment.

• Excellent communication skills, a commitment to lifelong learning, a knack for problem-solving, and an innate curiosity.

• If working from home, a strong internet connection, a quiet space for calls, and a professional (distraction-free) environment are required.

🏝️ Benefits

• Stock Options

• Remote work environment.

• Medical, dental, and vision benefits available within 30 days of hire.

• Retirement savings plan with company matching contributions.

• Mental health benefits.

• 15 days of paid vacation, with an additional two days for each subsequent year (up to a maximum of 25 days).

• Sick and Caregiving Days.

• Professional development initiatives to support growth.

• Generous parental leave (maternal and paternal) during the first year of a new child's life (whether born into the family or adopted) and pregnancy loss leave.