About Us:
A leading global technology group, renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, mobile gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.
Job Responsibilities:
1.UA Campaign Data Analysis & Performance Evaluation:
- Support the user acquisition (UA) efforts for the company's products by analyzing ad performance metrics such as ROI, conversion rate, and LTV.
- Build and maintain dashboards and data visualization reports to deliver actionable insights and improve campaign efficiency
2.Data Preparation for Modeling & Collaboration:
- Collaborate with algorithm engineers to prepare modeling datasets, including data cleaning, feature engineering, sample construction, and sampling.
- Assist with model deployment validation, performance evaluation, and continuous optimization.
3.Campaign Support & Process Coordination:
- Participate in campaign strategy planning, UA campaign setup, and post-launch data tracking and attribution analysis.
- Monitor key performance metrics on advertising platforms, identify issues, and provide optimization suggestions.
4.Data Management & Process Standardization:
- Contribute to building standardized data processing workflows, data dictionaries, and metric systems to improve analysis efficiency and reusability.
Requirements:
- Bachelor's degree in Data Engineering, Data Analytics, Information Technology, or a related courses.
- Proficient in SQL, capable of handling complex queries, data integration, and performance tuning.
- Familiar with Python / R / Excel for data analysis is a plus.
- Basic understanding of data modeling, feature engineering, labeling, and A/B testing concepts.
- Experience with data visualization tools such as Tableau, Power BI, DataStudio, or internal equivalents.
- Prior experience in digital advertising, mobile app user acquisition, UA analytics, or performance marketing is preferred.
- Experience collaborating with algorithm engineers or data science teams, with basic knowledge of machine learning workflows.
- Familiar with advertising platforms such as Google Ads, Meta (Facebook), TikTok, Apple Search Ads is a strong plus.
- Be able to communicate in both English and Chinese in daily work settings.
- Strong communication and collaboration skills, with the ability to quickly understand business needs and translate them into analytical tasks.
- High data sensitivity, logical thinking, and problem-solving abilities.
- Self-motivated and responsible, capable of delivering high-quality analytical support on time.
