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Critical soft skills: collaborating, influencing, emotional intelligence. Lead execution in partnership across multiple functions including Data Analytics, Data Engineering, and Data Science, as well as, with our product and marketing teams to drive critical insights.
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In alignment with that level of excellence, the Revenue Technology & Data Analytics IT team is responsible for the Revenue Management and Accounting, Loyalty, Data, Analytics and Business Intelligence groups.
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Demonstrates a high degree of emotional intelligence and empathy for the customers pain points. Lead Cortland and the industry in leveraging innovative technologies like generative intelligence.
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Proficiency in frontend development with SAP tools such as SAP Analytics Cloud (SAC), Analysis for Office (AFO), and Web Intelligence. Our professionals offer tailor-made strategies for Industry 4.0 transformations, integrating new technologies, process design and optimization, organizational change management, IOT platform strategy and analytics, smart factory design, Lean production strategies, and Agile transformations.
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Working knowledge of business intelligence software (e.g. Tableau, Power BI) Or, a Bachelor’s degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field and two (2) years of experience in a data analytics or related role.
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A solid understanding and experience of the principles and operations of high volume, variety, and velocity business intelligence, data warehousing, reporting, and analytics platforms with a proven background and record in architecture and implementation of applications, integrating with OLTP and 3rd party systems.
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Under general supervision, the Analytics / BI Consultant role exists to partner with key stakeholders in the organization to enable leaders to make strategic data-related decisions using analytics and business intelligence tools, specifically PowerBI. The Analytics / Data Science Consultant works with business owners, Project Managers, Senior Project Managers to understand the business/functional objectives and develops analytics and business intelligence dashboard reporting to reflect results.
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Two or more years of successful outside sales experience in a B2B environment selling Data, Research and Analytic platforms or tools, commercial real estate, financial services, business intelligence, marketing, or information providers.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. We are seeking a technically sophisticated, business-savvy and detail-oriented individual who will serve as a member of Meta's Global Sales Analytics team.
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