最新2019DATA岗位职位来袭
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| Data Analyst Intern |
| Job Type: Internship Location: Raleigh, NC |
| Responsibilities • Perform data analysis against large and varying data sets related to the areas within Supply Chain. • Translate current business challenges into analytical terms and use appropriate data analysis techniques to solve problems in the areas of customer fulfillment, procurement, and quality. • Perform ad-hoc data analysis to uncover critical information. • Clearly communicate and interpret data trends to Executive Level Management. • Translate data into profit opportunities using analytics to resolve an array of business problems within the Supply Chain. • Cross collaborate globally with area subject matter experts to improve business processes. Qualifications • Pursuing a Bachelor’s degree or higher in the area of Data Analytics, Statistics, Computer Science, Mathematics, Supply Chain, or a similar area • Minimum GPA Requirement: 3.0 or higher It would be a plus if you are: • Innovation, Critical Thinking, and Problem Solving Skills a must • Ability to perform in a fast-paced work environment • Great Communication Skills both Verbal and Written, English proficiency • Overall knowledge and understanding of Global Supply Chain • Team player with good interpersonal skills • Ability to present complex information in a user-friendly manner • Self motivated / Driven to perform |
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| Data Analyst for Enterprise Integration |
| Job Type: Internship Location: Detroit, MI |
| Responsibilities Projects support maximizing profit through data-driven decisions aligned with customer priorities. Specific focus areas include customer interactions, contacts & behaviors with all GM products. This activity employs a strong team with experience in data discovery, data integration, data quality and governance. Qualifications • Working towards a Bachelor’s degree in a system analysis field including: Information Technology, Engineering, Management Science, Mathematics, and Decision Science or equivalent experience. • Skilled in Big Data, data management & integration tools, Excel and Microsoft office products • You have a collaborative teammate orientation towards work relationships, strong culture awareness BASIC PREFERRED • Research or experience in data analysis where problems are poorly defined, complex and cross functional and possess uncertainties, multiple objectives and decisions with broad trade-offs. • Excellent teammate and communicator with strong interpersonal skills to work effectively with project teams, management, customers and subject matter experts. • Excellent oral, presentation and written communication skills. • Detail oriented, able to deliver high quality results under tight project deadlines. • Quickly learns and adapts skills to work on various projects in and with different technical and functional areas • Willingness and ability to contribute on multiple levels including: data processing, project management, and documentation. |
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| Data Analyst |
| Job Type: Full-time Location: New York, NY |
| Responsibilities • Address incoming support cases by leveraging hands-on mitigation workflows and ad-hoc analysis • Maintain proper written and verbal communication threads and protocols with relevant internal and external stakeholders • During daily work, you identify and recommend improvements to policies, processes, systems, and products that enable efficient anti-abuse mitigation for the company Qualifications • Preferred Bachelor’s degree in technology or analytical discipline • Experience in working with SQL for querying large datasets • You have a deep understanding of numbers, as well as a strong business sense to understand impact to the company • You are capable to meet tight deadlines and will be focused on execution • Previous exposure to using and generating data visualization dashboards (Tableau) • You are structured and pay close attention to details • You are clear in communication and adept at presenting and explaining complex topics and recommendations in simple termsNice to have : • Experience in deriving a set of relevant signals from a large set of data, summarizing it and drawing conclusions from it that can facilitate automation and prevention • Experience with fraud / abuse investigations, fraud risk management, security, and threat analysis for Internet-related products -preferably at technology companies |
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