Remote Forecasting & Revenue Analytics Engineer

Autodesk, Inc; Denver (CO); Remote; USD 103,000 - 185,000; Full time

Job summary

Autodesk is seeking an Analytics Engineer on the Forecasting & Revenue Intelligence team to turn sales, subscription and hierarchy data into tested models using SQL and dbt on Snowflake. You will own data mappings and maintain datasets that support the weekly forecast pack and leadership dashboards.

You will reconcile data with Salesforce and Finance, implement tests, and collaborate with stakeholders to explain trade-offs and fixes.

Qualifications

• 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.
• Strong SQL including window functions.
• Knowledge of Salesforce data model: accounts, opportunities, line items and ownership.

Responsibilities

• Build and maintain dbt models on Snowflake for Salesforce, subscription, billing and hierarchy data.
• Model data with a clear grain, stable keys, and consistent definitions.
• Maintain mappings between accounts, territories, sellers and the sales hierarchy.
• Reconcile data with Salesforce and Finance and diagnose discrepancies.
• Build datasets for weekly forecast packs and leadership dashboards.
• Add tests and monitoring for freshness and accuracy; fix issues as needed.
• Explain data issues to sales and finance partners in clear terms; agree on fixes.

Skills

SQL

dbt

Data modeling

Analytics engineering

Data storytelling

Education

Bachelor's degree in a technical or quantitative field

Tools

Snowflake

Airflow

Power BI

Tableau

Sigma

Job description

Autodesk is seeking an Analytics Engineer on the Forecasting & Revenue Intelligence team to turn sales, subscription and hierarchy data into tested models using SQL and dbt on Snowflake. You will own data mappings and maintain datasets that support the weekly forecast pack and leadership dashboards.

You will reconcile data with Salesforce and Finance, implement tests, and collaborate with stakeholders to explain trade-offs and fixes.