AI-Driven Finance Analytics Lead

Socket.dev; Washington (District of Columbia); On-site; USD 135,000 - 242,000; Full time

Job summary

Autodesk is seeking a Business Analytics Manager to advance the Go-to-Market Finance function by building scalable analytics, AI-enabled workflows, and data products that improve planning, forecasting, and reporting. You will own analytics workstreams across Finance, Sales, Data Engineering, and operations, translating business problems into structured analytics and practical AI-enabled solutions.

Partner with stakeholders to drive measurable impact, prototype solutions, and promote dashboards,

Qualifications

• 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 ability to work with large, complex datasets and multiple data sources.
• Strong experience with BI/visualization tools such as Power BI or similar.
• 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.

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 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

Skills

Advanced SQL

BI/Visualization (Power BI)

Stakeholder management

Communication skills

Cross-functional collaboration

Data modeling

Education

Bachelor’s degree or higher in a quantitative field

Tools

Python

Data visualization tooling

Job description

Autodesk is seeking a Business Analytics Manager to advance the Go-to-Market Finance function by building scalable analytics, AI-enabled workflows, and data products that improve planning, forecasting, and reporting. You will own analytics workstreams across Finance, Sales, Data Engineering, and operations, translating business problems into structured analytics and practical AI-enabled solutions.

Partner with stakeholders to drive measurable impact, prototype solutions, and promote dashboards,