Sales Insights Analytics Manager

• Applies deep knowledge of the business, data landscape, tools, technologies, and data lineage across multiple domains
• Connects business topics to relevant data sources and external trends, anticipating data and business requirements
• Proactively frames business questions into analytical solutions and identifies opportunities to enhance or automate data infrastructure and insights
• Builds strong cross‑functional connections to enable effective data sourcing, integration, and evaluation of business questions
• Stays current on analytics tools, best practices, and regulatory changes, while coaching others to broaden business and data understanding
• Conduct scenario modeling and effective reviews of compensation plans
• Evaluate model performance and ensure alignment with business objectives
• Interpret and communicate insights clearly to technical and non-technical stakeholders, linking analytical findings to business objectives and recommending data-driven actions
• Act as a trusted advisor to sales and finance leaders, providing insights that influence compensation strategy and seller behavior
• Collaborate cross-functionally with internal and external stakeholders to define project roadmaps, evaluate model performance, and ensure continuous improvement through feedback loops
• Contribute to the development of global tools and processes for compensation analytics
• Identify opportunities for automation and process optimization
• Stay current with industry trends and emerging technologies in data science and incentive design
• Assesses programs for potential risks, verifying adherence to company policies and procedures when executing compensation practices
• Identifies control measures and governance needs

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience

• Master of Business Administration Degree or Master's Degree in Finance, Computer Science, Data Science Engineering, or related field
• 3+ years’ experience working in a large or highly matrixed organization, preferably in the technology industry
• 3+ years program leadership/management experience
• 3+ years’ experience modeling data or statistical forecasting using software packages (e.g., ADX/Azure Stack, SQL, R, Python, Excel)
• 1+ years’ experience of using Microsoft data products (Power BI, Kusto, Fabric, etc.)

Eligible for benefits and other compensation