Analytics Engineer, Forecasting, Revenue Intelligence

🔥 7 minutes ago

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Logo of Autodesk

Autodesk

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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