91美女视频_福利视频网站_日本高清不卡视频_欧美视频第二页_综合色导航_欧美日韩视频在线第一区

The Company 公司簡介 A leading Multinational Technology company dedicated to leveraging the power of big data to drive innovation, optimize operations, and enhance customer experiences. 領(lǐng)先的跨國科技公司致力于利用大數(shù)據(jù)的力量推動創(chuàng)新、優(yōu)化運營，并提高顧客體驗 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)行一個全面的分析戰(zhàn)略，重點關(guān)注大數(shù)據(jù)，確保分析計劃與業(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. 通過運用高級分析、機器學(xué)習(xí)和數(shù)據(jù)挖掘工具和技術(shù)，領(lǐng)導(dǎo)團隊從大型復(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. 推動數(shù)據(jù)可視化和報告工具的創(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)和分析團隊，確保他們能不斷成長和發(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)動的決策制定并在整個組織中推廣，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. 實施和監(jiān)督數(shù)據(jù)質(zhì)量保證實踐，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)測并報告分析計劃的效果，向高管團隊定期提供關(guān)鍵績效指標(biāo)和對業(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，并獲得強有力的投資回報。 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)測并報告分析計劃的效果，向高管團隊定期提供關(guān)鍵績效指標(biāo)和對業(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)計學(xué)、計算機科學(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，專注于大數(shù)據(jù)和數(shù)據(jù)驅(qū)動戰(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. 強大的領(lǐng)導(dǎo)和團隊管理技能，具備建立和激勵高績效分析團隊的能力。 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、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. 展示了在實施推動業(yè)務(wù)增長的數(shù)據(jù)驅(qū)動戰(zhàn)略和計劃方面的成功經(jīng)驗。 NOTICE: Please provide profile in English and Chinese. 請?zhí)峁┠闹杏⑽暮啔v。