2 дня назад
Revenue Science Advisor
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Revenue Science Advisor (Business Analytics): Developing quantitative analyses, statistical models, dashboards, and ETL pipelines to support customer analytics, forecasting, business performance management, and global strategy with an accent on connecting competitive strategy, economic indicators, pricing, and customer segmentation. Focus on translating stakeholder needs into dashboard features, optimizing go-to-market tactics, and presenting analytical insights to cross-functional partners and senior management.
Location: Hybrid in Lakeland, Florida; candidates must live within a 50-mile radius and work at a office several times per week.
Company
provides global transportation, logistics, and delivery services.
What you will do
- Lead larger, high-complexity revenue and business analysis projects.
- Develop quantitative and statistical analyses for customer analytics, market analysis, forecasting, and enterprise performance.
- Synthesize insights across products, channels, industries, competitors, markets, and customer segments to support business strategy.
- Review and optimize go-to-market tactics for target customers, markets, and products.
- Lead cross-functional collaboration and provide analytical guidance to partner teams.
- Mentor less senior professionals and present reports, updates, and analytical findings to upper management.
Requirements
- Master’s degree in business, mathematics, economics, computer science, engineering, operations research, or a related quantitative field, plus three years of relevant experience; a Ph.D. may be accepted as an alternative.
- Experience with statistical modeling, business performance management, and customer analytics.
- Experience connecting competitive strategy, economic indicators, pricing information, and customer segmentation for strategy development.
- Experience gathering stakeholder needs and translating them into dashboard features.
- Experience creating and maintaining ETL pipelines, data wrangling, and data modeling.
- At least two years of experience or coursework with computer-aided decision support, programming languages, relational databases, or visualization tools such as SAS, SQL, Python, Teradata, Oracle, Power BI, Tableau, or Spotfire.
Culture & Benefits
- Hybrid work with regular collaboration from a office.
- Cross-functional work with peer partners and managers across the enterprise.
- Equal opportunity employment and reasonable accommodations throughout the application process.
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