Analytics Engineer, Forecasting, Revenue Intelligence

This is a fully remote position, open to applicants in Alabama, +31 more states.

📋 Description

• Develop and sustain dbt models on Snowflake that integrate Salesforce, subscription, billing, hierarchy, and forecasting data.

• Structure data with clear granularity, stable keys, and definitions that align with the shared metric dictionary.

• Ensure historical data is preserved, allowing published numbers to be reproduced as they were at their original publication date.

• Maintain linkages between accounts, territories, sellers, and the sales hierarchy.

• Reconcile data with Salesforce and Finance, and investigate any discrepancies that arise.

• Create datasets that support weekly forecasting reports, business reviews, and leadership dashboards.

• Implement tests and monitoring for data freshness, completeness, and accuracy, and address any failures.

• Communicate data issues and trade-offs to sales and finance partners, reaching a consensus on solutions.

• Utilize version control, code reviews, and continuous integration in your workflow.

• Take ownership of delivered work as a member of a new Forecasting & Revenue Intelligence team.

⛳️ Requirements

• A bachelor’s degree in a technical or quantitative discipline, or equivalent practical experience.

• Over 3 years of experience in analytics engineering, data engineering, or BI development, building models that others rely on.

• Experience with dbt in a production environment, including tests and documentation as part of your workflow.

• Proficient in SQL, including window functions and incremental models, within a cloud data warehouse like Snowflake.

• Familiarity with the Salesforce data model, including accounts, opportunities, line items, and ownership.

• Ability to articulate a data issue to a non-technical stakeholder and collaboratively arrive at a decision.

• Preferred: Experience with dbt snapshots or slowly changing dimensions for point-in-time reporting.

• Preferred: Proficiency in Python for transformation or orchestration, using Airflow or similar tools.

• Preferred: Knowledge of enterprise software or SaaS commercial data, including subscriptions, renewals, territories, and both direct and partner routes to market.

• Preferred: Familiarity with revenue intelligence platforms such as Clari, Gong, or Aviso, as well as BI tools like Power BI, Tableau, or Sigma.

• Preferred: Experience as one of the initial hires on a new data team.

• Must reside in the United States; candidates in the Central or Eastern time zones are preferred.

🏝️ Benefits

• Annual cash bonuses.

• Stock grants.

• Comprehensive benefits package.

• Health and financial benefits.

• Time away.

• Everyday wellness initiatives.

• Potential for in-person onboarding and/or in-person ID verification.