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.
Top Skills
What We Do
Founded in 2007, Patsnap is the company behind the world’s leading innovation intelligence platform. Patsnap is used by more than 10,000 customers in over 50 countries around the world to access market, technology, and competitive intelligence as well as patent insights needed to take products from ideation to commercialization. Customers are innovators across multiple industry sectors, including agriculture and chemicals, consumer goods, food and beverage, life sciences, automotive, oil and gas, professional services, aviation and aerospace, and education. To learn more about how Patsnap is improving the way companies innovate, visit www.patsnap.com.
