Analytics Engineer, Forecasting & Revenue Intelligence

Job

Requisition  Overview Autodesk’s worldwide sales organization depends on its forecast, pipeline, targets and reporting. This role builds the data models behind them. As an Analytics Engineer on the Forecasting & Revenue Intelligence team, you turn sales, subscription and hierarchy data into tested, documented models that analysts and sales leaders can trust, covering what customers bought, who owns which accounts and how the sales organization looked on any given date.

You will work in SQL and dbt on Snowflake, and you will work closely with the people who use your models. This is a hands-on role on a new team, and you will own what you ship.

Location:

United States (remote). Central or Eastern time zone preferred.

Organization:
Revenue Operations Responsibilities Build  and maintain dbt models on Snowflake that bring Salesforce, subscription, billing, hierarchy and forecast data into a clean, documented form Model data for analysis: a clear grain, stable keys, and definitions consistent with the shared metric dictionary

Keep history so any published number can be reproduced as it stood on the day it went out Maintain the mapping between accounts, territories, sellers and the sales hierarchy as the organization changes

Reconcile the data to Salesforce and to Finance, and find the cause when they disagree

Build the datasets behind the weekly forecast pack, business reviews and leadership dashboards

Add tests and monitoring for freshness, completeness and accuracy, and fix what breaks

Explain data issues and trade-offs to sales and finance partners in plain terms, and agree on a fix with them

Work in version control with code review and continuous integration

Minimum Qualifications Bachelor’s degree in a technical or quantitative field, or equivalent practical experience3+ years in analytics engineering, data engineering or BI development, building models other people depended onDbt 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 Qualifications Dbt snapshots or slowly changing dimensions for point-in-time reporting

Python for transformation or orchestration, with Airflow or similar

Enterprise software or SaaS commercial data: subscriptions, renewals, territories, and direct and partner routes to market

Revenue intelligence platforms such as Clari, Gong or Aviso, and BI tools such as Power BI, Tableau or Sigma Experience as an early hire on a new data team Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies.

We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.

-based roles, we expect a…