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VML中国

数据分析主管

查看原岗位
地点：印度 薪资：薪资未公开 日期：2026-02-24

岗位摘要

作为区域数据仓库和可视化平台的产品负责人，管理平台维护与开发，确保数据准确性和系统可靠性；领导2-3名开发人员，规划数据平台需求，转化为可执行的开发计划，并协调客户与团队反馈；主导网站及CRM渠道的实验设计与效果评估，推动营销活动优化，定期输出深度分析报告

岗位职责

  • 作为区域数据仓库和可视化平台的产品负责人，管理平台维护与开发，确保数据准确性和系统可靠性
  • 领导2-3名开发人员，规划数据平台需求，转化为可执行的开发计划，并协调客户与团队反馈
  • 主导网站及CRM渠道的实验设计与效果评估，推动营销活动优化，定期输出深度分析报告

任职要求

  • 具备扎实的数字分析背景，熟悉Snowflake、Adverity、Power BI等数据工具
  • 拥有Adobe Target或同类实验工具的实际操作经验，精通A/B测试方法论
  • 有团队管理经验，能协调跨职能团队并支持全球客户在多市场环境下的数据分析需求

加分项

  • Familiarity with Adobe Target or equivalent tools (e.
  • Optimizely).
  • Website Analytics
  • Use Adobe Analytics to deliver customer journey analysis, feature analysis, and respond to market analytics requests.
  • Operate within globally defined analytics plans and frameworks.
  • Manage a small team of analysts, while remaining hands
  • on when needed.
  • Collaborate with regional and market
  • level client and agency teams.
  • Support data provision for a wide range of marketing and business use cases.
  • Experience required: Adobe Analytics (essential).
  • Analytics Implementation
  • Oversee analytics implementation, including measurement plan development, tagging QA, and media tag implementation.
  • Owner of special projects such as migration to Adobe Web SDK from App Measurement and transition to event driven data layers.
  • Manage a team of 2 responsible for this high
  • volume, detail
  • oriented workstream.
  • Ensure all analytics follow global standards and market requirements, with accurate testing and validation.
  • Experience required: working with or familiar with tag managers (ideally Adobe Launch).
  • Team Management
  • Lead a team of 7 across multiple digital analytics disciplines.
  • Plan and prioritize team workload across a high volume of requests.
  • Provide professional development, mentoring, and career progression support.
  • Jump into the detail when needed to guide or support team members.
  • Maintain smooth communication and collaboration with both client and agency teams.
  • Client Management –
  • Manage senior
  • level client relationships across regional and market teams.
  • Showcase team work, insights, and thought leadership in the analytics space.
  • Clearly articulate the value and business impact of analytics initiatives.
  • Handle a high volume of client
  • facing requests with professionalism and clarity.
  • Deliver reporting and insights in formats tailored to different stakeholders.
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