Responsibilities

1. Responsible for strategic research, market intelligence, attribution system, and operational automation of market functions.
2. Responsible for market and user research, providing insights and support for annual strategies, quarterly budgets, and major investment decisions.
3. Responsible for the market data system, upgrading the market from a scattered campaign collection to a programmable, attributable, data-driven system.
4. Responsible for the quality of decision-making, accuracy of data, and credibility of attribution on the market side.
1.负责市场职能的战略研究、市场情报、归因体系与运营自动化。
2.负责市场与用户研究，为年度策略、季度预算、重大投入决策提供洞察支持。
3.负责市场数据体系，把市场从分散的 campaign 集合升级为可编程、可归因、数据驱动的系统。
4.对市场侧的决策质量、数据准确度、归因可信度负责。

Qualifications

1. Market research and strategic input: Continuously scan industry trends, competitive landscape, and changes in user behavior related to AI, 3D, creator economy, consumer technology, and other related fields, produce structured market research reports, and provide insights and support for annual strategies, quarterly budgets, and major investment decisions.
2. User and Market Research: Lead qualitative and quantitative research on users, market sizing, segmentation, and NPS satisfaction research, and establish a systematic understanding of the core user group.
3. Competitive and Business Analysis: Build a competitive intelligence system that covers product capabilities, pricing, GTM rhythm, media volume, financing, and organizational dynamics, and produces competitive landscape analysis that can drive strategic adjustments.
4. Attribution and ROI analysis: Build and continuously optimize full funnel attribution, channel attribution, and campaign ROI analysis to provide data support for budget allocation and strategy judgment.
5. Data infrastructure: Collaborate with the data engineering team to promote buried point specifications, MMP configuration, and MarTech tool integration; Establish dashboards and self-service analysis tools for various market functions, allowing business leaders to independently query and interpret their core indicators.
6. Operations automation: Build an automated system for market operations using AI tools and lightweight code, including report generation, anomaly warning, campaign brief templating, A/B analysis pipeline, etc.
7. Budget and Strategic Planning: Collaborate with CMO, finance and other responsible persons to undertake strategic and data support work for annual budget planning, ROI forecasting, and resource allocation recommendations.
1. 市场研究与战略输入：持续扫描 AI、3D、创作者经济、消费科技等相关赛道的行业趋势、竞争格局、用户行为变化，产出结构化的市场研究报告，为年度策略、季度预算、重大投入决策提供洞察支持。
2.用户与市场研究：主导用户定性研究、定量调研、市场 sizing、segmentation 与 NPS 类满意度研究，建立对核心用户群的系统化认知。
3.竞品与商业分析：搭建竞品情报体系，覆盖产品能力、定价、GTM 节奏、媒体声量、融资与组织动态，产出可驱动策略调整的竞争格局分析。
4.归因与 ROI 分析：搭建并持续优化全漏斗归因、渠道归因、campaign ROI 分析，为预算分配与策略判断提供数据支持。
5.数据基础设施：与数据工程团队协同推进埋点规范、MMP 配置、MarTech 工具集成；为各市场职能建立 dashboard 与自助分析工具，让业务负责人能独立查询并解读自己的核心指标。
6.运营自动化：用 AI 工具与轻量代码搭建市场运营的自动化系统，包含报表生成、异常预警、campaign brief 模板化、A/B 分析流水线等。
7.预算与战略规划：与 CMO、财务等负责人协同，承担年度预算规划、ROI 预测、资源分配建议的战略与数据支持工作。