Analytics Engineer, Forecasting, Revenue Intelligence

. Build and maintain dbt models on Snowflake integrating Salesforce, subscription, billing, hierarchy and forecast data .

Posted 10/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $103,000 - $185,130 per yearWebsite

Tools & technologies

AirflowCloudPythonSQLTableau

Key responsibilities & impact

Build and maintain dbt models on Snowflake integrating Salesforce, subscription, billing, hierarchy and forecast data
Model data with clear grain, stable keys and definitions consistent with the shared metric dictionary
Preserve historical data so published numbers can be reproduced as of their publication date
Maintain mappings between accounts, territories, sellers and the sales hierarchy as the organization changes
Reconcile data to Salesforce and Finance and investigate discrepancies
Build datasets supporting the weekly forecast pack, business reviews and leadership dashboards
Add freshness, completeness and accuracy tests and monitoring, and resolve failures
Explain data issues and trade-offs to sales and finance partners and agree on fixes
Use version control, code review and continuous integration
Own deliverables as part of a new Forecasting & Revenue Intelligence team

What you’ll need

Bachelor’s degree in a technical or quantitative field, or equivalent practical experience
3+ years in analytics engineering, data engineering or BI development
dbt in production, with tests and documentation as part of how you work
Strong SQL, including window functions and incremental models, in a cloud data warehouse such as Snowflake
Working knowledge of the Salesforce data model: accounts, opportunities, line items and ownership
Ability to explain a data problem to a non-technical stakeholder and reach a decision together
Preferred: dbt snapshots or slowly changing dimensions for point-in-time reporting
Preferred: Python for transformation or orchestration, with Airflow or similar
Preferred: Enterprise software or SaaS commercial data, including subscriptions, renewals, territories, and direct and partner routes to market
Preferred: Revenue intelligence platforms such as Clari, Gong or Aviso, and BI tools such as Power BI, Tableau or Sigma
Preferred: Experience as an early hire on a new data team
Must be located in the United States; Central or Eastern time zone preferred

Comp & perks

Annual cash bonuses may be included
Stock grants may be included
Comprehensive benefits package
Health and financial benefits
Time away and everyday wellness benefits
In-person onboarding and/or in-person ID verification may be provided or required