Business Analytics Manager

Autodesk

Business Analytics Manager supporting Finance with scalable analytics and AI-enabled solutions at Autodesk. Collaborating across teams to shape data-informed strategy and improve decision-making.

Posted 6/30/2026full-timeRemote • California, Colorado, Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $101,000 - $181,500 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own analytics and AI-enabled workflow workstreams, from problem framing and stakeholder alignment to solution design, insight generation, adoption, and measurable business impact
Partner closely with Finance stakeholders to understand planning, forecasting and reporting workflows, and identify opportunities to improve them through data, automation, and AI
Translate Finance and business challenges into structured analytical frameworks, including data modeling, KPI design, forecasting, experimentation, and decision-support workflows
Design and build scalable data products, including pipelines, tables, dashboards, reporting layers, and AI-ready datasets that enable automated, flexible, and action-oriented Finance analytics
Build and test prototypes for AI-enabled Finance workflows, such as automated business review narratives, anomaly detection, variance explanation, forecast drivers, natural-language insight discovery, and self-service reporting
Partner with Data Engineering, Finance Systems and central data teams to move prototypes into reliable, governed, production-ready solutions
Contribute to defining and standardizing KPI frameworks for financial metrics ensuring alignment across Finance and business teams
Design dashboards, reporting solutions, and self-service analytics experiences that improve adoption, reduce manual reporting, and help business partners make faster, more consistent decisions
Analyze business and financial metrics to uncover key drivers of growth, retention, churn, productivity, and efficiency, and recommend clear data-backed actions
Contribute to scalable, repeatable analytics frameworks and best practices that improve Finance decision-making and create consistency across planning, forecasting, reporting, and business reviews
Apply strong governance, quality control, and documentation practices to ensure AI-enabled workflows are accurate, explainable, secure, and appropriate for Finance decision support
Communicate insights, recommendations, and roadmap tradeoffs to stakeholders and leadership through clear storytelling, executive-ready presentations, and concise written narratives

Requirements

What you’ll need

Bachelor’s degree or higher in a quantitative field
5-7+ years of experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, data engineering
Advanced SQL skills with the ability to work with large, complex datasets and multiple data sources
Strong experience with BI and visualization tools such as Power BI, or similar platforms
Experience partnering with Finance, GTM, or business leadership teams to support planning, forecasting, reporting, and performance management
Demonstrated ability to structure ambiguous problems, perform deep analysis, and translate findings into clear business impact
Experience designing scalable dashboards, reporting solutions, data models, or analytics products that improve self-service and reduce manual work
Strong stakeholder management skills, with experience partnering across cross-functional teams
Excellent communication skills, with the ability to distill complex analysis, technical concepts, and business tradeoffs into clear, actionable recommendations
Proven ability to own workstreams within cross-functional initiatives and deliver results in a matrixed environment.

Benefits

Comp & perks

Health and financial benefits
Time away and everyday wellness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisKPI DesignForecastingExperimentationDecision-Support WorkflowsData ProductsAnalytics FrameworksQuality ControlDocumentation PracticesAutomated Reporting

Soft Skills

Problem StructuringCross-Functional CollaborationClear StorytellingActionable Recommendations