Job Description
Job Summary:
We are seeking a detail-oriented Content Analyst to support product innovation through the analysis and curation of technical, market, and industry data. You will work cross-functionally to define content logic, ensure data quality, and help deliver high-impact, data-driven solutions.
Requirements:
- Bachelor’s degree or above in Data Science, Statistics, Finance, Economics, Mathematics, or related fields.
- Proficiency in data analysis tools such as SQL; knowledge of Python, machine learning algorithms, or AI technologies is a strong advantage.
- Minimum of 2 years' experience in data analytics, data product management, or intelligence research in technology or industrial domains.
- Strong logical thinking, problem-solving, and communication skills.
- A passion for data-driven innovation and the ability to work effectively in a fast-paced, collaborative environment.
Key Responsibilities:
- Conduct in-depth research across technical literature, industries, markets, and financial data to extract key intelligence that supports product innovation.
- Analyze and define data processing logic—including collection, processing, classification, and standardization—based on business needs and product goals.
- Translate data insights into structured requirement documents to guide development teams.
- Collaborate with cross-functional teams (Data Engineering, R&D, and Quality Assurance) to ensure timely and high-quality delivery of data projects.
Responsibilities
Key Responsibilities:
- Conduct in-depth research across technical literature, industries, markets, and financial data to extract key intelligence that supports product innovation.
- Analyze and define data processing logic—including collection, processing, classification, and standardization—based on business needs and product goals.
- Translate data insights into structured requirement documents to guide development teams.
- Collaborate with cross-functional teams (Data Engineering, R&D, and Quality Assurance) to ensure timely and high-quality delivery of data projects.
Requirements
Requirements:
- Bachelor’s degree or above in Data Science, Statistics, Finance, Economics, Mathematics, or related fields.
- Proficiency in data analysis tools such as SQL; knowledge of Python, machine learning algorithms, or AI technologies is a strong advantage.
- Minimum of 2 years' experience in data analytics, data product management, or intelligence research in technology or industrial domains.
- Strong logical thinking, problem-solving, and communication skills.
- A passion for data-driven innovation and the ability to work effectively in a fast-paced, collaborative environment.
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