GTM Data Analytics Engineer

<h3><strong>About the Role </strong></h3> <p>We are seeking a highly analytical and detail-oriented Data Analytics Engineer to join our data team. This role will report into the Revenue Operations team. The ideal candidate will help build and maintain the data infrastructure and reporting used across go-to-market, finance, and product teams, working closely with analytics colleagues across both the GTM and core data teams to deliver reliable, well-documented data products.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Develop and maintain dashboards and reports primarily supporting GTM stakeholders, with additional use by Finance, Product, and other cross-functional teams; assist with deep-dive analyses on business performance and trends.</li> <li>Pull and analyze data from source systems (Salesforce, Amplitude, production systems, billing) to support reporting and ad hoc requests.</li> <li>Use SQL to extract, clean, and analyze data, with attention to correctness and efficiency.</li> <li>Build foundational SQL and business knowledge and quickly grow into contributing to dbt models within Snowflake, following established dimensional modeling standards.</li> <li>Partner with GTM, Finance, and Product stakeholders to understand data needs and keep reporting and definitions consistent.</li> </ul> <h3><strong>Requirements</strong></h3> <ul> <li>Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related quantitative field.</li> <li>1-3 years of experience in a Data Analyst, BI, or Analytics Engineering role.</li> <li>Strong SQL skills required, with the ability to write complex, multi-step queries involving joins and aggregations; experience with dbt and/or Python is a strong plus.</li> <li>Familiarity with a cloud data warehouse (Snowflake preferred) and BI tools (Hex, Metabase).</li> <li>Strong attention to detail and ability to manage multiple priorities in a fast-paced environment.</li> <li>Excellent communication skil