Analytics Engineer, Forecasting, Revenue Intelligence

🔥 13 hours ago

🏈 Alabama, Colorado, +30 more states – Remote

🏈 Alabama – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $103k - $185.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Autodesk

WebsiteLinkedInAll Job Openings

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 incorporating 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 original publication date • Maintain mappings between accounts, territories, sellers and the sales hierarchy • Reconcile data to Salesforce and Finance and investigate discrepancies • Build datasets supporting weekly forecast packs, business reviews and leadership dashboards • Add tests and monitoring for freshness, completeness and accuracy, and fix 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 shipped work 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, building models other people depended on • 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: 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 • Stock grants • Comprehensive benefits package • Health and financial benefits • Time away • Everyday wellness • Potential in-person onboarding and/or in-person ID verification