Content Analyst

AI overview

Support product innovation by analyzing and curating technical and market data, collaborating across teams to ensure high-quality data project delivery.
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. 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:
  • 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.
  • PatSnap offers IP and R&D analytics through our intelligence platform, giving businesses the patent data they need to make better decisions and innovate faster.

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