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 term 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).

Requirements

Master’s degree in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research plus 2 years of experience in the job offered or 2 years of work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative or technical role. The employer will alternatively accept a PhD in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research in lieu of a Master's degree plus 2 years of experience. The position requires experience with: One (1) year of experience or coursework with the following skills (skills can be gained concurrently with education):computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentation or insights in business, mathematics, economics, computer science or other quantitative field such as engineering/operations research), or any programming language (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). Strong human relations, communications and analytical skills. Directly related advanced degree may offset the experience requirements. Position can telecommute from home from any location in the U.S.

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