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We have capabilities in freight management, warehouse and distribution center support, last-mile delivery, supply chain analytics, and optimization, and more. after 60 days of employmentCareer growth, Over 650 Sites nationallyJoin our travel team, see the country, learn how all our sites operatePaid Training, Safety Incentives About the CompanyCapstone is a North American supply chain solutions partner with more than 650 operating locations, 19,000 associates, and 60,000 carriers.
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Department Overview:Pharma Commercial Digital Partner build & run automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies, and revenue growth opportunities.
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Enhances personal professional growth and development through seminars, workshops, in service meetings, current literature and professional affiliations to keep abreast of the latest trends in the field of process improvement and project management.
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This role will have expertise in data movement and database technologies support data analytics and Machine Learning (ML) / Artificial Intelligence (AI) capabilities. Job Overview:The primary role of the Senior Data Engineer is to support and expand the Data & Analytics platforms that process, store, organize the data critical for the data and analytics team.
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This firm invests in venture and micro/seed funds, as well as directly in high-growth private technology companies. Support meetings and events with existing and prospective investors, including data analytics and reporting, creating slide decks and binders, organizing logistics, etc.
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Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks. Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.
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As a Staff Analytics Engineer, you will lead data pipeline, data strategy, and data visualization-related efforts for the Global Product Analytics team at Max. You’re an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles.
$106,750 - $198,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Backed by 20+ years of research, F4Ss revolutionary predictive analytics have achieved over 90% reliability in forecasting personal and team motivations, behaviors, and performance. We are inviting professionals in high-growth industries who are thinking about their next move or looking for a new opportunity to join our expanding talent pool.
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By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
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Knowledge, Skills and Abilities: Robotic Process Automation, assisted and unassisted Voice Transcription and Model Development Document Processing GenAI Analytics Process Design, Lean, Six SigmaAbility to influence others Knowledge of key business areas including marketing, operations, information technology, and salesAbility to manage matrixed teams to deliver commitmentsThis job description is illustrative of the types of duties typically performed by this job.
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Preferred Qualifications Demonstrated ability to sell digital services (cloud, analytics, automation, apps to the cloud) as well as managed services, full IT Outsourcing solutions, application services, and industry vertical solutions to include things like regulatory compliance solutions, digital solutions, mobile solutions, transformational services, managed services, application management/support.
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Experience with Databricks, Qlik, and the Advana analytics platform. This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense.
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Extensive knowledge in SEO, PPC, Google Analytics, Websites, and CMS is required. Educate and consult clients on SEO best practices, digital marketing growth tactics, and industry standards.
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Handling complex data requests for business development purposes using a combination of database tools, including internal database management services and third-party data sources, including: S&P Capital IQ, Burgiss Private IQ, Preqin, Pitchbook and Bloomberg Terminal; Utilizing Power BI and other Data Visualization tools to deliver data and routine updates to existing dashboards and processes for monitoring purposes and to support research team growth.
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Whether it's crafting robust IT structures, implementing strategic digital marketing campaigns, harnessing the power of data analytics, ensuring regulatory compliance, fortifying security measures, or leveraging cloud technologies, we are committed to delivering excellence across the technological landscape.
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