• Urban Science
  • Woodcliff Lake , NJ
  • Non-Executive Management
  • Full-Time
  • 8 Dorchester Rd

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his ManagerSr. Manager role will be responsible for supporting the delivery of Automotive OEM client services which are mainly focused on Dealership Network Analysis (analyzing networks of Automotive Dealerships for optimal operational efficiency and profitability) projects. This position is heavily focused on client relationship building and sustainment, project management and presenting project conclusions to mid-level management. The position also holds responsibility for effectively managing and motivating a small team of direct reports. The ideal candidate will have strong leadership, analytical, client facing and technical skills (not developer level - mostly SQL, Advanced Excel and using Proprietary Software). University degree required analytical or technical degrees are strongly preferred (i.e., engineering, applied math, statistics, applied science, information systems, operations research, etc.) from an accredited college or university, or equivalent foreign institution. Non-technical degrees considered with right combination of experience related to the position requirements. Full Job description available at our website urbanscience.com or upon request. Company Overview Urban Science is a team oriented, business-solutions company focused on supporting the needs of the sales and marketing function of the automotive industry. We leverage a scientific methodology to help our client partners sell more vehicles, improve profitability and increase customer loyalty. And we do that by helping solve their toughest challenges including planning an optimal dealership network, improving individual dealer performance and efficiently converting sales leads into sales. In short, we guide business through sciencemdashand wersquove been doing this since 1977.
Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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