Analytics Engineer

About the Role

Join our operations team to leverage our rich customer data, transforming it into actionable insights that will shape product development and enhance customer success.

Responsibilities

• Iteratively refine our data, build models, and facilitate self-service analytics across the team.
• Organize and perform complex data transformations using SQL and Python.
• Investigate data to answer critical business questions.
• Mentor and educate team members on data analysis best practices.
• Collaborate with business users, designers, product managers, and engineers on a daily basis.
• Contribute to all aspects of the data lifecycle, including ingestion, modeling, analysis, and storytelling.

Requirements

• Strong data modeling or integration skills.
• Exceptional coding proficiency in SQL (100+ lines of complex queries/models) or Python (1k+ lines of OOP scripts).
• Ability to clearly articulate business processes through models and charts.
• 5+ years of experience in an analytics engineer, data analyst, data scientist, data engineer, or similar role.
• Preferred: BS in Computer Science, Computer Engineering, Mathematics, Economics, or equivalent technical degree.

Nice-to-Haves

• Experience with B2B SaaS environments.
• Familiarity with dbt, Postgres/Redshift, Fivetran, or dlt.
• Experience with dimensional modeling, data engineering, or data science (machine learning).
• Exposure to LLM/AI concepts.