主分类:数据分析与数据科学
来源 JD 数据(旧分类保留,当前主分类见上方)
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"job": {
"job_title": "LAZADA-Business Intelligence Analyst-SG BI",
"job_level": "未披露",AI生成
"work_category": "全职",AI生成
"department": "LAZADA",
"location": "杭州",
"work_mode": "未披露",AI生成
"job_category": "未披露"AI生成
},
"company": {
"company_name": "阿里国际数字商业",
"company_industry": "跨境电商",
"company_size": "未披露",
"company_website": "alibaba.com",
"company_description": "阿里国际数字商业业务涉及国际电商平台及跨境商品交易。"
},
"compensation": {
"salary_range": {
"min": "",
"max": "",
"currency": "未披露",
"cycle": "未披露"
},
"benefits": "未披露"
},
"requirements": {
"working_years": 3,
"degree": "• Bachelor's degree or above in a quantitative or business-related field",
"language": "Working-level English — you can read, write, and present analysis in English, as you will communicate with Singapore stakeholders regularly",AI生成
"visa_support": "未披露",
"responsibilities": "Analytics & Reporting\n• Build and maintain dashboards, regular reports, and automated bots that support business teams across the full range — from top-management strategic direction down to day-to-day ground operations\n• Monitor key metrics, alert the business to potential issues, and proactively spot risks and growth opportunities\n• Ensure data is accurate and consistent across all dashboards, reports, and analysis\n• Run daily, weekly, and monthly performance analysis to track business health and find opportunities\nBusiness Partnership & Strategic Support\n• Work closely with business leaders and teams, providing analysis that supports key decisions and target achievement\n• Provide analysis and recommendations that help shape and steer business decisions on strategies, initiatives, and other key priorities\n• Track how strategies and key initiatives are performing, and surface insights on top-priority business topics\n• Contribute to cross-functional projects and business programs\n• Turn data findings into clear business language — explain what is happening, why it matters, and what to do next\nAI & Innovation\n• Actively use AI tools in daily work to improve productivity, automate repetitive tasks, and enhance output quality\n• Revamp and improve existing dashboards and reports to be AI-enabled and user-friendly\n• Build automated reporting bots and AI-assisted analytical solutions\n• Stay current with AI developments relevant to business analytics and apply them to work\nOn-Demand Support & Collaboration\n• Provide on-demand data support and analysis as business needs arise\n• Collaborate with cross-functional stakeholders to understand their needs and deliver end-to-end analysis, from data gathering to presentation\n• Communicate with data and tech teams to turn business needs into data solutions",
"requirements_text": "Must-have\n• Strong analytical and numerical skills — you can break down unclear problems, spot patterns, and find insights in messy data\n• Proficiency in SQL — you can write queries independently to extract, transform, and analyze data\n• Experience with dashboarding tools such as Quick BI, Tableau, or Power BI\n• Business sense — you understand (or are eager to learn) how a business works, and you think about “why” the data looks a certain way, not just “what” it shows\n• AI proficiency — you actively use AI tools in your daily work, and you genuinely enjoy using them to work smarter. Not just aware of AI, but a real user\n• Working-level English — you can read, write, and present analysis in English, as you will communicate with Singapore stakeholders regularly\n• 3–5 years of experience in data analytics, business intelligence, strategy & planning, or a related analytical role (strong candidates with more experience are also welcome)\n• Bachelor's degree or above in a quantitative or business-related field\nGood to have\n• Comfortable dealing with ambiguity, with the initiative to refine unclear goals as you go\n• Business exposure in any industry, such as offline retail, brands, or FMCG — with e-commerce, platform, or tech experience a plus\n• Ability to manage stakeholders and present analysis clearly — turning complex findings into simple business terms that non-data audiences can act on\n• Basic knowledge of Python or similar scripting for analysis and automation",
"skills": [AI生成
"Python",
"SQL",
"Tableau",
"Power BI",
"Go"
],
"preferred_qualifications": "未披露",
"job_highlights": "未披露"
},
"contact": {
"recruiter_name": "未披露",
"contact_methods": [
{
"type": "apply_link",
"value": "https://aidc-jobs.alibaba.com/off-campus/position-detail?positionId=100025135019"
}
]
},
"posting": {
"posting_id": "100025135019",
"post_date": "2026-08-31",
"hire_time": "未披露",
"update_date": "20260917",
"job_url": "https://aidc-jobs.alibaba.com/off-campus/position-detail?positionId=100025135019"
},
"fulltext": "LAZADA-Business Intelligence Analyst-SG BI\nLAZADA-Business Intelligence Analyst-SG BI\n\n基础信息\n工作地点:杭州\n\n职位描述\nAnalytics & Reporting\n• Build and maintain dashboards, regular reports, and automated bots that support business teams across the full range — from top-management strategic direction down to day-to-day ground operations\n• Monitor key metrics, alert the business to potential issues, and proactively spot risks and growth opportunities\n• Ensure data is accurate and consistent across all dashboards, reports, and analysis\n• Run daily, weekly, and monthly performance analysis to track business health and find opportunities\nBusiness Partnership & Strategic Support\n• Work closely with business leaders and teams, providing analysis that supports key decisions and target achievement\n• Provide analysis and recommendations that help shape and steer business decisions on strategies, initiatives, and other key priorities\n• Track how strategies and key initiatives are performing, and surface insights on top-priority business topics\n• Contribute to cross-functional projects and business programs\n• Turn data findings into clear business language — explain what is happening, why it matters, and what to do next\nAI & Innovation\n• Actively use AI tools in daily work to improve productivity, automate repetitive tasks, and enhance output quality\n• Revamp and improve existing dashboards and reports to be AI-enabled and user-friendly\n• Build automated reporting bots and AI-assisted analytical solutions\n• Stay current with AI developments relevant to business analytics and apply them to work\nOn-Demand Support & Collaboration\n• Provide on-demand data support and analysis as business needs arise\n• Collaborate with cross-functional stakeholders to understand their needs and deliver end-to-end analysis, from data gathering to presentation\n• Communicate with data and tech teams to turn business needs into data solutions\n\n职位要求\nMust-have\n• Strong analytical and numerical skills — you can break down unclear problems, spot patterns, and find insights in messy data\n• Proficiency in SQL — you can write queries independently to extract, transform, and analyze data\n• Experience with dashboarding tools such as Quick BI, Tableau, or Power BI\n• Business sense — you understand (or are eager to learn) how a business works, and you think about “why” the data looks a certain way, not just “what” it shows\n• AI proficiency — you actively use AI tools in your daily work, and you genuinely enjoy using them to work smarter. Not just aware of AI, but a real user\n• Working-level English — you can read, write, and present analysis in English, as you will communicate with Singapore stakeholders regularly\n• 3–5 years of experience in data analytics, business intelligence, strategy & planning, or a related analytical role (strong candidates with more experience are also welcome)\n• Bachelor's degree or above in a quantitative or business-related field\nGood to have\n• Comfortable dealing with ambiguity, with the initiative to refine unclear goals as you go\n• Business exposure in any industry, such as offline retail, brands, or FMCG — with e-commerce, platform, or tech experience a plus\n• Ability to manage stakeholders and present analysis clearly — turning complex findings into simple business terms that non-data audiences can act on\n• Basic knowledge of Python or similar scripting for analysis and automation\nAnalytics & Reporting\n• Build and maintain dashboards, regular reports, and automated bots that support business teams across the full range — from top-management strategic direction down to day-to-day ground operations\n• Monitor key metrics, alert the business to potential issues, and proactively spot risks and growth opportunities\n• Ensure data is accurate and consistent across all dashboards, reports, and analysis\n• Run daily, weekly, and monthly performance analysis to track business health and find opportunities\nBusiness Partnership & Strategic Support\n• Work closely with business leaders and teams, providing analysis that supports key decisions and target achievement\n• Provide analysis and recommendations that help shape and steer business decisions on strategies, initiatives, and other key priorities\n• Track how strategies and key initiatives are performing, and surface insights on top-priority business topics\n• Contribute to cross-functional projects and business programs\n• Turn data findings into clear business language — explain what is happening, why it matters, and what to do next\nAI & Innovation\n• Actively use AI tools in daily work to improve productivity, automate repetitive tasks, and enhance output quality\n• Revamp and improve existing dashboards and reports to be AI-enabled and user-friendly\n• Build automated reporting bots and AI-assisted analytical solutions\n• Stay current with AI developments relevant to business analytics and apply them to work\nOn-Demand Support & Collaboration\n• Provide on-demand data support and analysis as business needs arise\n• Collaborate with cross-functional stakeholders to understand their needs and deliver end-to-end analysis, from data gathering to presentation\n• Communicate with data and tech teams to turn business needs into data solutions\nMust-have\n• Strong analytical and numerical skills — you can break down unclear problems, spot patterns, and find insights in messy data\n• Proficiency in SQL — you can write queries independently to extract, transform, and analyze data\n• Experience with dashboarding tools such as Quick BI, Tableau, or Power BI\n• Business sense — you understand (or are eager to learn) how a business works, and you think about “why” the data looks a certain way, not just “what” it shows\n• AI proficiency — you actively use AI tools in your daily work, and you genuinely enjoy using them to work smarter. Not just aware of AI, but a real user\n• Working-level English — you can read, write, and present analysis in English, as you will communicate with Singapore stakeholders regularly\n• 3–5 years of experience in data analytics, business intelligence, strategy & planning, or a related analytical role (strong candidates with more experience are also welcome)\n• Bachelor's degree or above in a quantitative or business-related field\nGood to have\n• Comfortable dealing with ambiguity, with the initiative to refine unclear goals as you go\n• Business exposure in any industry, such as offline retail, brands, or FMCG — with e-commerce, platform, or tech experience a plus\n• Ability to manage stakeholders and present analysis clearly — turning complex findings into simple business terms that non-data audiences can act on\n• Basic knowledge of Python or similar scripting for analysis and automation",
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}