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The Company 公司簡(jiǎn)介 A leading Multinational Technology company dedicated to leveraging the power of big data to drive innovation, optimize operations, and enhance customer experiences. 領(lǐng)先的跨國(guó)科技公司致力于利用大數(shù)據(jù)的力量推動(dòng)創(chuàng)新、優(yōu)化運(yùn)營(yíng)，并提高顧客體驗(yàn) The Career 工作職責(zé) 1. Develop and execute a comprehensive analytics strategy with a specific focus on big data, ensuring that analytics initiatives align with business goals. 制定并執(zhí)行一個(gè)全面的分析戰(zhàn)略，重點(diǎn)關(guān)注大數(shù)據(jù)，確保分析計(jì)劃與業(yè)務(wù)目標(biāo)保持一致。 2. Lead efforts to extract actionable insights from large and complex datasets using advanced analytics, machine learning, and data mining techniques. 通過運(yùn)用高級(jí)分析、機(jī)器學(xué)習(xí)和數(shù)據(jù)挖掘工具和技術(shù)，領(lǐng)導(dǎo)團(tuán)隊(duì)從大型復(fù)雜數(shù)據(jù)集中提取具有可操作性的深入見解，為決策制定和業(yè)務(wù)改進(jìn)提供有力支持。 3. Oversee the development of data visualization and reporting tools to present analytical findings in an accessible and meaningful manner to various stakeholders. 推動(dòng)數(shù)據(jù)可視化和報(bào)告工具的創(chuàng)新，以便用直觀和有說服力的方式向各利益相關(guān)方展示分析成果。 4. Build, mentor, and manage a high-performing data science and analytics team, ensuring their continuous growth and development. 組建并指導(dǎo)一支高效的數(shù)據(jù)科學(xué)和分析團(tuán)隊(duì)，確保他們能不斷成長(zhǎng)和發(fā)展。 5. Promote data-driven decision-making throughout the organization, working closely with business units to identify opportunities for data analytics and insights. 倡導(dǎo)數(shù)據(jù)驅(qū)動(dòng)的決策制定并在整個(gè)組織中推廣，與業(yè)務(wù)部門緊密合作，發(fā)掘數(shù)據(jù)分析和洞察的潛力。 6. Implement and oversee data quality assurance practices to ensure that analytics results are based on reliable and accurate data. 實(shí)施和監(jiān)督數(shù)據(jù)質(zhì)量保證實(shí)踐，以確保分析結(jié)果基于可靠和準(zhǔn)確的數(shù)據(jù)。 7. Cultivate collaborations and partnerships within the big data and analytics ecosystem to enhance company's analytics capabilities and influence. 監(jiān)測(cè)并報(bào)告分析計(jì)劃的效果，向高管團(tuán)隊(duì)定期提供關(guān)鍵績(jī)效指標(biāo)和對(duì)業(yè)務(wù)目標(biāo)影響的更新。 8. Develop and manage the analytics budget, ensuring efficient resource allocation and a strong return on investment. 制定和管理分析預(yù)算，確保資源分配高效，并獲得強(qiáng)有力的投資回報(bào)。 9. Monitor and report on the effectiveness of analytics initiatives, providing regular updates to the executive team on key performance metrics and the impact on business goals. 監(jiān)測(cè)并報(bào)告分析計(jì)劃的效果，向高管團(tuán)隊(duì)定期提供關(guān)鍵績(jī)效指標(biāo)和對(duì)業(yè)務(wù)目標(biāo)影響的更新。 Requirements 職位要求 1. Bachelor's degree in data science, statistics, computer science, or a related field (Master's or Ph.D. preferred). 數(shù)據(jù)科學(xué)、統(tǒng)計(jì)學(xué)、計(jì)算機(jī)科學(xué)或相關(guān)領(lǐng)域的學(xué)士學(xué)位（研究生或博士學(xué)位優(yōu)先）。 2. Has over 10 years of experience in data analytics, with a strong focus on big data and data-driven strategy. 擁有超過10年的數(shù)據(jù)分析經(jīng)驗(yàn)，專注于大數(shù)據(jù)和數(shù)據(jù)驅(qū)動(dòng)戰(zhàn)略。 3. In-depth knowledge of big data technologies, data analytics tools, machine learning, and data visualization. 深入了解大數(shù)據(jù)技術(shù)、數(shù)據(jù)分析工具、機(jī)器學(xué)習(xí)和數(shù)據(jù)可視化。 4. Strong leadership and team management skills, with the ability to build and motivate a high-performing analytics team. 強(qiáng)大的領(lǐng)導(dǎo)和團(tuán)隊(duì)管理技能，具備建立和激勵(lì)高績(jī)效分析團(tuán)隊(duì)的能力。 5. Proficiency in data analytics platforms, programming languages like Python or R, and data visualization tools. 熟練掌握數(shù)據(jù)分析平臺(tái)、編程語言如Python或R，以及數(shù)據(jù)可視化工具。 6. Strong communication and presentation skills, with the ability to convey complex analytical findings to non-technical stakeholders. 出色的溝通和演示技巧，能夠?qū)?fù)雜的分析結(jié)果傳達(dá)給非技術(shù)干系人。 7. Demonstrated success in implementing data-driven strategies and initiatives that drive business growth. 展示了在實(shí)施推動(dòng)業(yè)務(wù)增長(zhǎng)的數(shù)據(jù)驅(qū)動(dòng)戰(zhàn)略和計(jì)劃方面的成功經(jīng)驗(yàn)。 NOTICE: Please provide profile in English and Chinese. 請(qǐng)?zhí)峁┠闹杏⑽暮?jiǎn)歷。