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About the Role

Support the Go-to-Market Finance organization by driving data-informed strategy, building scalable analytics solutions, and AI-enabled workflows to improve planning, forecasting, and reporting. This role will accelerate time to insights, reduce manual work, and shape how Finance uses data, automation, and AI for better business decisions.

Responsibilities

• 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 for improvement 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

• 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.

Skills

• SQL
• Power BI
• BI tools
• Visualization tools
• Data modeling
• KPI design
• Forecasting
• Experimentation
• Decision-support workflows
• Data products
• Pipelines
• Dashboards
• Reporting layers
• AI-ready datasets
• AI-enabled workflows
• Automated business review narratives
• Anomaly detection
• Variance explanation
• Forecast drivers
• Natural-language insight discovery
• Self-service reporting
• Python
• Statistical tools
• Machine learning
• Generative AI
• Predictive models
• Responsible AI practices

Location

• U.S.

Work Type

• Full-time

Experience Level

• 5-7+ years of experience

Education Level

• Bachelor’s degree or higher in a quantitative field

Salary/Compensations

• $101,000 - $181,500

Benefits

• Health benefits
• Financial benefits
• Time away
• Everyday wellness
• Annual cash bonuses
• Stock grants
• Comprehensive benefits package

About the Company

• Amazing things are created every day with Autodesk software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies.
• Autodesk helps innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
• Autodesk takes great pride in its culture – it’s at the core of everything they do.
• The culture guides the way they work and treat each other, informs how they connect with customers and partners, and defines how they 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!

Equal Opportunity

• At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world.
• Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic.
• We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
• We take pride in cultivating a culture of belonging where everyone can thrive.