
11 - 50 employés
Fondée en 1989
🍽️ Alimentation et boissons
🏠 Immobilier
🌾 Agriculture
Food & Beverage • Real Estate • Agriculture
GOODYEAR & GOODYEAR, INC. est une entreprise de vente immobilière et de gestion foncière située dans le sud-ouest de la Géorgie, avec près de 50 ans d'histoire. Fondée à la fin des années 1950 et aujourd'hui dirigée par Henry M. Goodyear, III, la société offre des services professionnels incluant la vente immobilière, la gestion de baux agricoles et de plantations, la gestion des cultures et des vergers de pacaniers, ainsi que des services de paie et de comptabilité pour les propriétaires fonciers. Leur objectif est de maximiser la productivité économique des terres tout en préservant le plaisir et la satisfaction des propriétaires fonciers.
🕒 il y a 29 jours
🗣️🇺🇸🇬🇧 Anglais requis
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11 - 50 employés
Fondée en 1989
🍽️ Alimentation et boissons
🏠 Immobilier
🌾 Agriculture
Food & Beverage • Real Estate • Agriculture
GOODYEAR & GOODYEAR, INC. est une entreprise de vente immobilière et de gestion foncière située dans le sud-ouest de la Géorgie, avec près de 50 ans d'histoire. Fondée à la fin des années 1950 et aujourd'hui dirigée par Henry M. Goodyear, III, la société offre des services professionnels incluant la vente immobilière, la gestion de baux agricoles et de plantations, la gestion des cultures et des vergers de pacaniers, ainsi que des services de paie et de comptabilité pour les propriétaires fonciers. Leur objectif est de maximiser la productivité économique des terres tout en préservant le plaisir et la satisfaction des propriétaires fonciers.
• Lead the design and implementation of robust data infrastructure to support analytics and business intelligence • Manage database engineering efforts to optimize data storage and retrieval • Ensure effective data warehousing solutions that support efficient data management and reporting • Drive the creation of high-value assets that support strategic decision-making • Develop and manage customer data platforms to capture and analyze customer behavior and preferences • Oversee consumer segmentation efforts to identify and target key audience segments • Lead efforts to identify consumer trends and behaviors to inform product development and marketing strategies • Develop and refine target audience profiles to enhance marketing effectiveness • Leverage propensity modelling to predict customer behavior in the purchase funnel and optimize marketing efforts • Conduct and oversee first-party custom research to gather unique consumer insights • Translate data into actionable customer insights to drive business growth and customer satisfaction • Oversee website analytics to optimize online user experience and engagement • Develop and implement marketing mix models to evaluate and optimize marketing investments • Utilize predictive analytics to forecast marketing outcomes and inform strategy • Lead advanced marketing attribution efforts to accurately measure the impact of marketing activities • Analyze commercial performance data to identify opportunities for growth and improvement • Define brand equity and strength • Oversee network analytics to optimize distribution and operational efficiency • Lead product analytics efforts to inform product development and lifecycle management • Utilize financial analytics to support budgeting, forecasting, and financial planning.
• Bachelor’s degree in Business Administration, Applied Economics, Data Engineering, Data Science, Mathematics, or related field; Advanced Degree Preferred • Minimum of 10 years of experience in data, analytics, and insights, with experience leading large, multi-functional teams • Proven track record of developing and implementing successful data and analytics strategies in a global organization • Experience in the manufacturing or automotive industry is a plus • Expertise in advanced analytics, data science, machine learning, and AI • Proficiency with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI) • Demonstrated ability using Monte Carlo simulations, Real Options, Simulations leveraging a Digital Twin, Causal inference, Bayesian Decision Analysis • Strong understanding of data management, data governance, and data architecture • Exceptional leadership and team management capabilities • Ability to influence and collaborate with senior executives and cross-functional teams • Strong problem-solving skills and a strategic mindset • Excellent verbal and written communication skills • Ability to present complex analytical concepts to non-technical stakeholders.
• Health insurance • Retirement plans • Paid time off
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