Senior Analyst, Business Architecture - Analytics

The COO Finance Business Analytics team reimagines forecasting, planning, and business performance management within our Go-to-Market Finance organization to focus on the most important insights, simplify workflows, and take advantage of the latest technologies.   

We then deliver high-quality data products to enable these reimagined processes, both by building data tools directly and by influencing central engineering teams to build the right infrastructure.  

This role will support a variety of GTM finance teams and topics. We are a small team working to transform how finance data is used across Autodesk, so flexibility and adaptability are essential. We must coordinate our efforts both within our team and across the teams that support us, take on different projects as business needs change, and constantly manage scope vs. time tradeoffs to ensure we are delivering the most impactful results.   

Specific activities will include:  

• Partnering with GTM finance teams to understand their current and future data needs for planning, forecasting, reporting, and performance management 

• Reimagining processes, data structures, and dashboards for simplicity, agility, and adaptability to keep up with GTM innovation  

• Writing, deploying, and maintaining production code for data tables, dashboards, and ML models you support 

• Partnering with other teams to influence the design and delivery of company-wide solutions 

• Identifying actionable insights that can target and improve Autodesk’s go-to-market efforts and inform the development of new products and business models  

• Integrating  your efforts into the broader Business Analytics-led buildout of GTM Finance data  

• Adapting state-of-the-art analytical and predictive tools for use in our forecasting and planning processes  

Minimum Qualifications  

• Bachelor’s degree or higher in a quantitative field  

• Experience with SQL and large datasets  

• Minimum of 3 years’ experience in technical analytics such as business intelligence, data engineering, or data science 

• People with analytical business backgrounds such as BizOps, consulting, strategic finance, and IB/VC/PE will also be considered if they have SQL skills 

• Experience with data visualization tools such as Power BI, Tableau, Looker, etc.  

• Organized, reliable, and accountable 

• A good listener with excellent written and verbal communication skills  

Preferred qualifications:  

• 2+ years in client-facing consulting and 2+ years in a technical analytics role 

• Deep experience in Power BI 

• Experience with scripting languages such as Python or Javascript  

• Experience building and deploying ML models 

• Domain experience in FP&A and / or sales, marketing, and customer success strategy and operations