GTM Analytics Engineer - Revenue Insights & Dashboards

Together AI; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Startup equity

Health insurance

Competitive benefits

Job summary

Together AI is seeking a Data Analytics Engineer to join the Revenue Operations data team in San Francisco. You will build and maintain data infrastructure and reporting used across GTM, finance, and product, collaborating with analytics teams to deliver reliable data products.

The role focuses on SQL-driven data extraction, dbt modeling in Snowflake, and partnering with stakeholders to ensure consistent definitions and insights. Strong analytical and communication skills are essential.

Qualifications

• Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or similar.
• 1–3 years in Data Analyst/BI/Analytics Engineering.
• Strong SQL skills; dbt and/or Python is a plus.
• Familiar with Snowflake and BI tools Hex/Metabase.
• Detail-oriented with ability to handle multiple priorities in a fast-paced environment.
• Excellent communication, able to explain data to non-technical stakeholders.

Responsibilities

• Develop and maintain dashboards and reports for GTM, Finance, and Product; assist with analyses.
• Pull and analyze data from Salesforce, Amplitude, production systems, and billing.
• Use SQL to extract, clean, and analyze data with accuracy and efficiency.
• Grow into dbt models in Snowflake, following dimensional modeling standards.
• Collaborate with GTM, Finance and Product to align data needs and definitions.

Skills

SQL

dbt

Python

Snowflake

Hex

Metabase

Data storytelling

Communication

Education

Bachelor's degree in a related quantitative field

Tools

Snowflake

Hex

Metabase

Job description

Together AI is seeking a Data Analytics Engineer to join the Revenue Operations data team in San Francisco. You will build and maintain data infrastructure and reporting used across GTM, finance, and product, collaborating with analytics teams to deliver reliable data products.

The role focuses on SQL-driven data extraction, dbt modeling in Snowflake, and partnering with stakeholders to ensure consistent definitions and insights. Strong analytical and communication skills are essential.