Sr. Revenue Science Analyst

Under minimum supervision, assumes lead roles in medium revenue threshold projects. Key contributor to analyze business problems of up to medium complexity. Generates computer aided quantitative and statistical business analysis by leveraging advanced tools and scientific modeling approaches related to customer analytics, market analysis and forecasting in support of the organization's global strategies. Assists in synthesizing analytical views from various business dimensions in support of business decisions based on business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments. Determines go-to market tactics related to specific target customers, markets and products in terms of marketing communication and sales calls. Typically works in tandem with peers from other groups. Independently attends cross-functional meetings and discussions to understand analytical requirements across enterprise business functions. Demonstrates excellence in computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative field such as engineering/operation research) and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire). Mentors and trains professionals in less senior positions within the team on quantitative data analysis. Provides updates and reports to upper management (typically within the department).