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| [] [Tridge] Data Analyst Intern | |||||
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| Writer | 인포센터 | Date | 2019-03-19 09:42 | Hit | 9230 |
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| [Tridge] Data Analyst Intern | |
| Tridge | |
Tridge is a data-driven global B2B trading platform of Agriculture and Food industry, where buyers and suppliers can find credible business partners, market intelligence and new trade business opportunity. • Tridge is a data-driven global B2B trading platform of Agriculture and Food industry, where buyers and suppliers can find credible business partners, market intelligence and new trade business opportunity. • Tridge is a global frontrunner revolutionizing one of the most traditional industries, Agriculture and Food B2B Trading Industry, using our extensive digital, data and technology capabilities as well as unique crowd-sourced human networks in more than 200 countries. • Many leading global food manufacturers, retailers, caterers worldwide already benefit from Tridge’s innovative digital solution for local market intelligence acquisition, supplier identification as well as trading communication / execution. • The most notable aspect of Tridge is that every member is wholeheartedly striving to implement our core value proposition of “Global market equilibrium” by effectively executing our company slogan “Connecting” • The Data Analyst Intern will assist the Tridge Operation Team in processing, analyzing and maintaining data of various global market intelligences as well as various stakeholders | |
| http://www.tridge.com | |
| Essential Job Responsibilities • Data validation : verify multiple food and agriculture related datasets - market intelligence, news, company information to ensure data integrity and quality • Data management : manage datasets and integrate data from different sources • Data analysis : analyze various human and machine generated datasets to provide business insights into Tridge’s trade platform and user contents using standard tools • Keep records and prepare reports on daily work and report to the supervisor | |
| (at least 3 months) | |
| 합의 후 결정 | |
Education: • BS, MS or PhD (Mathematics, Statistics, Economics, Engineering, Computer Science or related field not required but is preferred) Technical Skills: • Advanced skills in Microsoft Excel, SQL, or other data analytics packages preferred • Knowledge in statistical machine learning models preferred. • Programming experience with any language preferred. Personal Skills: • Ability to process and analyze data, strong attention to details, analytical skills and problem solving skills • Strong written and verbal communications skills in English • Ability to do multi-tasks, succeed under pressure, manage time and workload, and complete projects independently and collaboratively • Long term commitment (at least 3 months) | |
| Seocho-Gu, Seoul, South Korea | |
| 2019.3.14~2019.4.14 | |
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출처:연세대한국어학당
workingholiday@mofa.go.kr 
