Analytics Engineer, Forecasting, Revenue Intelligence

Autodesk

. Build and maintain dbt models on Snowflake incorporating Salesforce, subscription, billing, hierarchy and forecast data .

Posted 10/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $103,000 - $185,130 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining dbt models on Snowflake, with strong SQL skills and a solid understanding of the Salesforce data model. Capable of reconciling data discrepancies and effectively communicating data issues to non-technical stakeholders.

Highest-signal resume keywords

Dbt Model DevelopmentStrong SQL SkillsSalesforce Data Model KnowledgeData ReconciliationAnalytics Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DbtSQLData ModelingData ReconciliationIncremental ModelsPoint-in-Time ReportingData TestingData DocumentationData AnalysisData Engineering

Soft Skills

CommunicationCollaborationProblem-SolvingStakeholder Engagement

Tools & Technologies

SnowflakeSalesforcePower BITableauSigmaAirflowClariGongAviso

Industry Keywords

Analytics EngineeringBusiness IntelligenceRevenue IntelligenceSaaSEnterprise Software

Tech Stack

Tools & technologies

AirflowCloudPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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