Senior Business Analytics Manager

Autodesk is a company that creates innovative software solutions for various industries. They are seeking a Senior Business Analytics Manager to drive data-informed strategy and analytics solutions within their Go-to-Market Finance organization, focusing on performance measurement and actionable insights.

Responsibilities:

• Lead end-to-end analytics initiatives, from problem framing and stakeholder alignment to insight generation and business impact
• Partner with senior stakeholders across Finance, Data Engineering, and Sales to proactively identify opportunities and influence strategic decisions
• Partnering with GTM finance teams to understand their planning, forecasting, reporting, and performance management needs
• Translate ambiguous business challenges into structured analytical frameworks, including data modeling, experimentation, and advanced analysis
• Define and standardize KPI frameworks for customer health, retention, expansion, and operational performance, ensuring alignment across teams
• Design and scale dashboards and reporting solutions that drive adoption, self-service, and actionable insights across the organization
• Analyze metrics to uncover key drivers of retention, churn, and growth, and recommend data-backed actions
• Owning the delivery of end-to-end data products (pipelines, tables, and dashboards) to enable reporting and analytics that are automated, flexible, scalable, and action-oriented (this will involve building and testing prototype data products yourself while partnering with corporate data engineering teams to build long-term solutions)
• Communicate insights and recommendations to senior leadership through clear, compelling storytelling and executive-ready presentations
• Drive improvements to data models, data quality, and analytics infrastructure in partnership with central data and engineering teams
• Establish scalable, repeatable analytics frameworks and best practices to improve decision-making across the business
• Mentor junior analysts and contribute to raising the overall analytical capability of the team

Requirements:

• Bachelor's degree or higher in a quantitative field
• 6-8+ 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
• Demonstrated ability to structure ambiguous problems, perform deep analysis, and translate findings into business impact
• Strong stakeholder management skills, with experience influencing decisions at senior levels
• Excellent communication skills, with the ability to distill complex analyses into clear, actionable insights
• Proven ability to lead cross-functional initiatives and drive results in a matrixed environment
• Experience supporting Go To Market, SaaS, or subscription-based business models
• Experience with Python or other statistical tools for advanced analytics, modeling, or experimentation
• Experience building and deploying predictive models to forecast key metrics
• Experience designing an optimal decision support process, defining a product strategy to enable it, translating into a roadmap, and enabling it through technology
• Domain experience in FP&A and / or sales, marketing, and customer success operations
• Experience working in high-growth or transformation environments