Senior Data Analyst, Imaging (Shenzhen) 高级数据分析师—影像（深圳）

岗位职责:

● 负责核心业务指标体系的构建与维护，通过日常数据监控与异常排查，及时发现并诊断业务健康度，输出日报、周报等数据看板，为业务部门提供高效的数据支持

● 深入理解用户行为、商业模式与业务流程，主动开展专项分析，如版本迭代、用户行为、增长策略、商业化变现等，找出用户行为规律，并输出高质量的分析洞察与 actionable 的优化建议，为产品和运营决策提供引导

● 独立负责或协同产品、运营团队，进行A/B实验的设计、数据分析与结果评估，为产品功能、运营策略提供数据支撑

任职要求：

● 3年以上互联网行业数据分析经验，对用户行为数据有深刻理解，有影像或工具类App相关经验者优先

● 掌握SQL，能独立完成复杂数据查询与提取熟悉Python/R等至少一门脚本语言，能进行数据处理与统计分析

● 熟用数据分析方法、A/B实验基础理论，并有丰富的应用经验

●熟悉工具（如Tableau、PowerBI、Superset等）并有实际报表开发经验

● 业务理解力：具备强烈的业务同理心和敏锐度，能够快速理解业务需求，并将业务问题转化为数据分析问题，提供有效的解决方案

● 沟通表达：具备优秀的结构化思维和书面表达能力，能清晰、准确地向非技术人员解释

● 复杂的数据洞察，并能有效推动项目落地

● 具备独立思考和解决问题的能力，能在面对模糊需求和业务挑战时，主动探索并提出建设性方案

● 具备高度的责任心与owner意识，以结果为导向，能主动发现并推动解决问题

● 严谨、客观的数度，对数据和业务充满好奇心，渴望通过数据洞察为产品和业务带来真正的价值

加分项：

● 有商业化、用户增长专项数据分析经验

● 有过用户分层体系、用像等项目经验

Key Responsibilities:

1. Basic Business Analysis & Monitoring:

● Responsible for constructing and maintaining core business indicator systems. Monitor daily data and troubleshoot anomalies to promptly identify and diagnose business health. Produce daily/weekly reports and data dashboards to provide efficient data support for business departments.

2. Specialized Analysis & Business Insight:

● Deeply understand user behavior, business models, and workflows. Proactively conduct specialized analyses (e.g., version iterations, user behavior, growth strategies, commercialization) to identify user behavior patterns. Deliver high-quality analytical insights and actionable optimization suggestions to guide product and operational decisions.

3. A/B Testing Analysis:

● Independently or collaboratively design A/B tests with product, operations teams. Perform data analysis and result evaluation to support product features, operational strategies.

Qualifications:

1. Experience & Knowledge:

● 3+ years of data analysis experience in the internet industry, with deep understanding of user behavior data. Experience in imaging or tool-based Apps is preferred.

● Proficient in SQL, capable of independently handling complex data queries and extraction. Familiar with at least one scripting language (Python/R) for data processing and statistical analysis.

● Familiar with common data analysis methods and A/B testing fundamentals, with substantial practical application experience.

● Experience with BI tools (e.g., Tableau, Power BI, Superset) and practical report development.

2. Abilities & Soft Skills:

● Business Acumen: Strong business empathy and sensitivity, able to quickly understand business needs, translate business problems into data analysis tasks, and provide effective solutions.

● Communication Skills: Excellent structured thinking and written expression, capable of clearly and accurately explaining complex data insights to non-technical stakeholders and effectively driving project implementation.

● Problem-Solving: Independent thinking and problem-solving abilities, able to proactively explore and propose constructive solutions amid ambiguous requirements and business challenges.

3. Motivation & Values:

● High sense of responsibility and ownership, results-driven, and proactive in identifying and resolving issues.

● Rigorous and objective data attitude, curious about data and business, and eager to deliver real value through data insights.

Preferred Qualifications:

● Experience in specialized data analysis (e.g. commercialization, user growth).

● Project experience in user segmentation systems or user profiling.